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{
"cells": [
{
"cell_type": "markdown",
"id": "a47459ea",
"metadata": {
"id": "3efad4c7-d34f-44b0-a48d-94651f931bae"
},
"source": [
"# Activity: Perform multiple linear regression\n"
]
},
{
"cell_type": "markdown",
"id": "f3edc68f",
"metadata": {
"id": "2faf7b57-5c13-45e5-b666-d575eff0d17c"
},
"source": [
"## Introduction"
]
},
{
"cell_type": "markdown",
"id": "bfafe4b7",
"metadata": {
"id": "2ca9aca5-33e0-4aa7-acdb-05832b05e5a9"
},
"source": [
"As you have learned, multiple linear regression helps you estimate the linear relationship between one continuous dependent variable and two or more independent variables. For data science professionals, this is a useful skill because it allows you to compare more than one variable to the variable you're measuring against. This provides the opportunity for much more thorough and flexible analysis. \n",
"\n",
"For this activity, you will be analyzing a small business' historical marketing promotion data. Each row corresponds to an independent marketing promotion where their business uses TV, social media, radio, and influencer promotions to increase sales. They previously had you work on finding a single variable that predicts sales, and now they are hoping to expand this analysis to include other variables that can help them target their marketing efforts.\n",
"\n",
"To address the business' request, you will conduct a multiple linear regression analysis to estimate sales from a combination of independent variables. This will include:\n",
"\n",
"* Exploring and cleaning data\n",
"* Using plots and descriptive statistics to select the independent variables\n",
"* Creating a fitting multiple linear regression model\n",
"* Checking model assumptions\n",
"* Interpreting model outputs and communicating the results to non-technical stakeholders"
]
},
{
"cell_type": "markdown",
"id": "fc917c2c",
"metadata": {
"id": "bfcf5ec2-e48b-4443-9bf6-72670bd60041"
},
"source": [
"## Step 1: Imports"
]
},
{
"cell_type": "markdown",
"id": "1e4837c8",
"metadata": {
"id": "9d3f02aa-20dd-4844-baad-c080e7d5c48d"
},
"source": [
"### Import packages"
]
},
{
"cell_type": "markdown",
"id": "611e0f37",
"metadata": {
"id": "7dcaa8a0-4fe8-4816-9ef5-5fc665a4638f"
},
"source": [
"Import relevant Python libraries and modules."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "0513c418",
"metadata": {
"id": "b2f4b9fa-b7bd-4b88-8c71-d3af5ddcb906"
},
"outputs": [],
"source": [
"# Import libraries and modules.\n",
"\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import statsmodels.api as sm\n",
"from statsmodels.formula.api import ols"
]
},
{
"cell_type": "markdown",
"id": "0a78cf95",
"metadata": {
"id": "84d9d20a-4ea9-4f2d-a633-b21420f47eeb"
},
"source": [
"### Load dataset"
]
},
{
"cell_type": "markdown",
"id": "91de29a0",
"metadata": {
"id": "b05c77e3-9f0f-4245-a683-07be022e2cd6"
},
"source": [
"`Pandas` was used to load the dataset `marketing_sales_data.csv` as `data`, now display the first five rows. The variables in the dataset have been adjusted to suit the objectives of this lab. As shown in this cell, the dataset has been automatically loaded in for you. You do not need to download the .csv file, or provide more code, in order to access the dataset and proceed with this lab. Please continue with this activity by completing the following instructions."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "b40669e0",
"metadata": {
"id": "32d46d82-2bd6-4433-b56e-cfa5542949ca"
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>TV</th>\n",
" <th>Radio</th>\n",
" <th>Social Media</th>\n",
" <th>Influencer</th>\n",
" <th>Sales</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Low</td>\n",
" <td>1.218354</td>\n",
" <td>1.270444</td>\n",
" <td>Micro</td>\n",
" <td>90.054222</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Medium</td>\n",
" <td>14.949791</td>\n",
" <td>0.274451</td>\n",
" <td>Macro</td>\n",
" <td>222.741668</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Low</td>\n",
" <td>10.377258</td>\n",
" <td>0.061984</td>\n",
" <td>Mega</td>\n",
" <td>102.774790</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>High</td>\n",
" <td>26.469274</td>\n",
" <td>7.070945</td>\n",
" <td>Micro</td>\n",
" <td>328.239378</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>High</td>\n",
" <td>36.876302</td>\n",
" <td>7.618605</td>\n",
" <td>Mega</td>\n",
" <td>351.807328</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" TV Radio Social Media Influencer Sales\n",
"0 Low 1.218354 1.270444 Micro 90.054222\n",
"1 Medium 14.949791 0.274451 Macro 222.741668\n",
"2 Low 10.377258 0.061984 Mega 102.774790\n",
"3 High 26.469274 7.070945 Micro 328.239378\n",
"4 High 36.876302 7.618605 Mega 351.807328"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# RUN THIS CELL TO IMPORT YOUR DATA.\n",
"\n",
"### YOUR CODE HERE ### \n",
"data = pd.read_csv('marketing_sales_data.csv')\n",
"\n",
"# Display the first five rows.\n",
"\n",
"data.head()"
]
},
{
"cell_type": "markdown",
"id": "3645c231",
"metadata": {
"id": "fd47ede7-63ff-4fe5-aeb0-b8f909e9ecbe"
},
"source": [
"## Step 2: Data exploration"
]
},
{
"cell_type": "markdown",
"id": "b3e86ba0",
"metadata": {},
"source": [
"### Familiarize yourself with the data's features\n",
"\n",
"Start with an exploratory data analysis to familiarize yourself with the data and prepare it for modeling.\n",
"\n",
"The features in the data are:\n",
"\n",
"* TV promotional budget (in \"Low,\" \"Medium,\" and \"High\" categories)\n",
"* Social media promotional budget (in millions of dollars)\n",
"* Radio promotional budget (in millions of dollars)\n",
"* Sales (in millions of dollars)\n",
"* Influencer size (in \"Mega,\" \"Macro,\" \"Micro,\" and \"Nano\" categories)\n"
]
},
{
"cell_type": "markdown",
"id": "3abffefb",
"metadata": {},
"source": [
"**Question:** What are some purposes of EDA before constructing a multiple linear regression model?"
]
},
{
"cell_type": "markdown",
"id": "e37b3d26",
"metadata": {},
"source": [
"* Understanding which variables are present in the data\n",
"* Reviewing the distribution of features, such as minimum, mean, and maximum values\n",
"* Plotting the relationship between the independent and dependent variables to visualize which features have a linear relationship\n",
"* Identifying issues with the data, such as incorrect values (e.g., typos) or missing values"
]
},
{
"cell_type": "markdown",
"id": "19e8f2c1",
"metadata": {
"id": "3f63f855-1dac-415b-a303-4f66fc39322c"
},
"source": [
"### Create a pairplot of the data\n",
"\n",
"Create a pairplot to visualize the relationship between the continous variables in `data`."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "2563ad97",
"metadata": {
"id": "518254a6-44d5-45bf-9b57-13ce3a4deab3"
},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.PairGrid at 0x17c3f75bb90>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 750x750 with 12 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create a pairplot of the data.\n",
"\n",
"sns.pairplot(data);"
]
},
{
"cell_type": "markdown",
"id": "4a00fbfe",
"metadata": {
"id": "93223044-e133-4d60-ab37-d792ca43c234"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"Refer to [the content where creating a pairplot is demonstrated](https://www.coursera.org/learn/regression-analysis-simplify-complex-data-relationships/item/dnjWm).\n",
"\n",
"</details>\n"
]
},
{
"cell_type": "markdown",
"id": "d7bf7f11",
"metadata": {
"id": "fb6bfb6f-35b6-427e-8d58-8ae5f25c5b9f"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"Use the function in the `seaborn` library that allows you to create a pairplot showing the relationships between variables in the data.\n",
"\n",
"</details>\n"
]
},
{
"cell_type": "markdown",
"id": "21020ebc",
"metadata": {
"id": "672bccbf-ffc6-4999-8153-12d658341f56"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
"\n",
"Use the `pairplot()` function from the `seaborn` library and pass in the entire DataFrame.\n",
"\n",
"</details>\n"
]
},
{
"cell_type": "markdown",
"id": "48b2335e",
"metadata": {
"id": "043e38a8-35fe-4c4e-b278-f3dab9b897da"
},
"source": [
"**Question:** Which variables have a linear relationship with `Sales`? Why are some variables in the data excluded from the preceding plot?\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "c3ee8d08",
"metadata": {
"id": "1AsrnNkd4hl9"
},
"source": [
"`Radio` and `Social Media` both appear to have linear relationships with `Sales`. Given this, `Radio` and `Social Media` may be useful as independent variables in a multiple linear regression model estimating `Sales`. \n",
"\n",
"`TV` and `Influencer` are excluded from the pairplot because they are not numeric. "
]
},
{
"cell_type": "markdown",
"id": "a0e70a40",
"metadata": {
"id": "af82ed3e-be07-47a2-8531-ac759b607dd7"
},
"source": [
"### Calculate the mean sales for each categorical variable"
]
},
{
"cell_type": "markdown",
"id": "4cc04026",
"metadata": {
"id": "63116e2d-3453-478e-a98e-8564ff72829c"
},
"source": [
"There are two categorical variables: `TV` and `Influencer`. To characterize the relationship between the categorical variables and `Sales`, find the mean `Sales` for each category in `TV` and the mean `Sales` for each category in `Influencer`. "
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "eba46e91",
"metadata": {
"id": "cf770bc2-d2fd-4441-99b0-94ac2e704f90"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"TV\n",
"High 300.529591\n",
"Low 91.646843\n",
"Medium 199.023461\n",
"Name: Sales, dtype: float64 \n",
"\n",
"Influencer\n",
"Macro 205.660047\n",
"Mega 180.385096\n",
"Micro 198.655080\n",
"Nano 190.777766\n",
"Name: Sales, dtype: float64\n"
]
}
],
"source": [
"# Calculate the mean sales for each TV category. \n",
"\n",
"print(data.groupby('TV')['Sales'].mean(),'\\n')\n",
"\n",
"\n",
"\n",
"# Calculate the mean sales for each Influencer category. \n",
"\n",
"print(data.groupby('Influencer')['Sales'].mean())\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "ba4cd959",
"metadata": {
"id": "75cca644-b19a-4a48-b99e-e5261de0ac7c"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"Find the mean `Sales` when the `TV` promotion is `High`, `Medium`, or `Low`.\n",
" \n",
"Find the mean `Sales` when the `Influencer` promotion is `Macro`, `Mega`, `Micro`, or `Nano`. \n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "5e5f4bf0",
"metadata": {
"id": "66d8f2bb-3eac-487f-8357-ffe1c69fb1a7"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"Use the `groupby` operation in `pandas` to split an object (e.g., data) into groups and apply a calculation to each group.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "f9e2d741",
"metadata": {
"id": "84b3354e-a688-469f-9891-677d935eddd2"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
"\n",
"To calculate the mean `Sales` for each `TV` category, group by `TV`, select the `Sales` column, and then calculate the mean. \n",
" \n",
"Apply the same process to calculate the mean `Sales` for each `Influencer` category.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "6c490d65",
"metadata": {
"id": "e415aa95-0650-47e0-9efd-2770b8dfcb3d"
},
"source": [
"**Question:** What do you notice about the categorical variables? Could they be useful predictors of `Sales`?\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "a234bf12",
"metadata": {
"id": "2-NgZvWJ4ijo"
},
"source": [
"The average `Sales` for `High` `TV` promotions is considerably higher than for `Medium` and `Low` `TV` promotions. `TV` may be a strong predictor of `Sales`.\n",
"\n",
"The categories for `Influencer` have different average `Sales`, but the variation is not substantial. `Influencer` may be a weak predictor of `Sales`.\n",
"\n",
"These results can be investigated further when fitting the multiple linear regression model. "
]
},
{
"cell_type": "markdown",
"id": "e264883e",
"metadata": {
"id": "0f4adbee-9d13-400a-99e6-6d4c482b8e17"
},
"source": [
"### Remove missing data\n",
"\n",
"This dataset contains rows with missing values. To correct this, drop all rows that contain missing data."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "ca45feca",
"metadata": {
"id": "498e546b-e90e-4b84-a7d7-12b3bb514c1d"
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>TV</th>\n",
" <th>Radio</th>\n",
" <th>Social Media</th>\n",
" <th>Influencer</th>\n",
" <th>Sales</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Low</td>\n",
" <td>1.218354</td>\n",
" <td>1.270444</td>\n",
" <td>Micro</td>\n",
" <td>90.054222</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Medium</td>\n",
" <td>14.949791</td>\n",
" <td>0.274451</td>\n",
" <td>Macro</td>\n",
" <td>222.741668</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Low</td>\n",
" <td>10.377258</td>\n",
" <td>0.061984</td>\n",
" <td>Mega</td>\n",
" <td>102.774790</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>High</td>\n",
" <td>26.469274</td>\n",
" <td>7.070945</td>\n",
" <td>Micro</td>\n",
" <td>328.239378</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>High</td>\n",
" <td>36.876302</td>\n",
" <td>7.618605</td>\n",
" <td>Mega</td>\n",
" <td>351.807328</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" TV Radio Social Media Influencer Sales\n",
"0 Low 1.218354 1.270444 Micro 90.054222\n",
"1 Medium 14.949791 0.274451 Macro 222.741668\n",
"2 Low 10.377258 0.061984 Mega 102.774790\n",
"3 High 26.469274 7.070945 Micro 328.239378\n",
"4 High 36.876302 7.618605 Mega 351.807328"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Drop rows that contain missing data and update the DataFrame.\n",
"\n",
"data = data.dropna()\n",
"data.head()\n"
]
},
{
"cell_type": "markdown",
"id": "9d80ca1c",
"metadata": {
"id": "e37d7507-1f3d-4432-912e-ced7feff4ac6"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"Use the `pandas` function that removes missing values.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "f6df5c2f",
"metadata": {
"id": "19cd01e1-9976-47f6-b25c-7b8ce2a05627"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"The `dropna()` function removes missing values from an object (e.g., DataFrame).\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "1445a046",
"metadata": {
"id": "87a46eec-9d3e-4657-bf91-6b3bd02089f0"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
"\n",
"Use `data.dropna(axis=0)` to drop all rows with missing values in `data`. Be sure to properly update the DataFrame.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "6511cbac",
"metadata": {
"id": "6c77f884-a459-4083-ac2f-abfd2d476f28"
},
"source": [
"### Clean column names"
]
},
{
"cell_type": "markdown",
"id": "9b35fb4a",
"metadata": {
"id": "f1235ced-59ff-46e0-9120-c52517ec89d1"
},
"source": [
"The `ols()` function doesn't run when variable names contain a space. Check that the column names in `data` do not contain spaces and fix them, if needed."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "27c4016a",
"metadata": {
"id": "ac28fd29-44d9-4842-9c94-0aa9bd8ebb04"
},
"outputs": [],
"source": [
"# Rename all columns in data that contain a space. \n",
"\n",
"\n",
"data = data.rename(columns={'Social Media' : 'Social_Media'})\n"
]
},
{
"cell_type": "markdown",
"id": "95453dad",
"metadata": {
"id": "f6ee1e20-acb5-4c7a-ac25-bb6891825895"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"There is one column name that contains a space. Search for it in `data`.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "bede924a",
"metadata": {
"id": "ed1e4f56-c792-4355-bbb3-59da85f67a1e"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"The `Social Media` column name in `data` contains a space. This is not allowed in the `ols()` function.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "ee630e4b",
"metadata": {
"id": "e146d3ff-3ab5-4eb7-a789-5e4300ecaf9d"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
"\n",
"Use the `rename()` function in `pandas` and use the `columns` argument to provide a new name for `Social Media`.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "ca1979b5",
"metadata": {
"id": "888c90fa-d800-43e4-a692-9fdd576c9b9c"
},
"source": [
"## Step 3: Model building"
]
},
{
"cell_type": "markdown",
"id": "d3f0a4cc",
"metadata": {
"id": "9c906193-db62-4af0-83fa-dffafc347554"
},
"source": [
"### Fit a multiple linear regression model that predicts sales\n",
"\n",
"Using the independent variables of your choice, fit a multiple linear regression model that predicts `Sales` using two or more independent variables from `data`."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "c90620fb",
"metadata": {
"id": "76f99341-1ea0-4f1d-a2c7-54e56bd57e38"
},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"simpletable\">\n",
"<caption>OLS Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>Sales</td> <th> R-squared: </th> <td> 0.904</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>OLS</td> <th> Adj. R-squared: </th> <td> 0.904</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>Least Squares</td> <th> F-statistic: </th> <td> 1782.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Mon, 23 Oct 2023</td> <th> Prob (F-statistic):</th> <td>1.61e-287</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>03:09:41</td> <th> Log-Likelihood: </th> <td> -2701.4</td> \n",
"</tr>\n",
"<tr>\n",
" <th>No. Observations:</th> <td> 569</td> <th> AIC: </th> <td> 5411.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Df Residuals:</th> <td> 565</td> <th> BIC: </th> <td> 5428.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Df Model:</th> <td> 3</td> <th> </th> <td> </td> \n",
"</tr>\n",
"<tr>\n",
" <th>Covariance Type:</th> <td>nonrobust</td> <th> </th> <td> </td> \n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>t</th> <th>P>|t|</th> <th>[0.025</th> <th>0.975]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>Intercept</th> <td> 217.6367</td> <td> 6.577</td> <td> 33.089</td> <td> 0.000</td> <td> 204.718</td> <td> 230.556</td>\n",
"</tr>\n",
"<tr>\n",
" <th>C(TV)[T.Low]</th> <td> -152.0897</td> <td> 5.160</td> <td> -29.474</td> <td> 0.000</td> <td> -162.225</td> <td> -141.954</td>\n",
"</tr>\n",
"<tr>\n",
" <th>C(TV)[T.Medium]</th> <td> -73.4835</td> <td> 3.587</td> <td> -20.484</td> <td> 0.000</td> <td> -80.530</td> <td> -66.437</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Radio</th> <td> 2.8864</td> <td> 0.217</td> <td> 13.306</td> <td> 0.000</td> <td> 2.460</td> <td> 3.312</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <th>Omnibus:</th> <td>35.219</td> <th> Durbin-Watson: </th> <td> 1.949</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Prob(Omnibus):</th> <td> 0.000</td> <th> Jarque-Bera (JB): </th> <td> 13.863</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Skew:</th> <td> 0.087</td> <th> Prob(JB): </th> <td>0.000976</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Kurtosis:</th> <td> 2.255</td> <th> Cond. No. </th> <td> 155.</td>\n",
"</tr>\n",
"</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
],
"text/latex": [
"\\begin{center}\n",
"\\begin{tabular}{lclc}\n",
"\\toprule\n",
"\\textbf{Dep. Variable:} & Sales & \\textbf{ R-squared: } & 0.904 \\\\\n",
"\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.904 \\\\\n",
"\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1782. \\\\\n",
"\\textbf{Date:} & Mon, 23 Oct 2023 & \\textbf{ Prob (F-statistic):} & 1.61e-287 \\\\\n",
"\\textbf{Time:} & 03:09:41 & \\textbf{ Log-Likelihood: } & -2701.4 \\\\\n",
"\\textbf{No. Observations:} & 569 & \\textbf{ AIC: } & 5411. \\\\\n",
"\\textbf{Df Residuals:} & 565 & \\textbf{ BIC: } & 5428. \\\\\n",
"\\textbf{Df Model:} & 3 & \\textbf{ } & \\\\\n",
"\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\\begin{tabular}{lcccccc}\n",
" & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n",
"\\midrule\n",
"\\textbf{Intercept} & 217.6367 & 6.577 & 33.089 & 0.000 & 204.718 & 230.556 \\\\\n",
"\\textbf{C(TV)[T.Low]} & -152.0897 & 5.160 & -29.474 & 0.000 & -162.225 & -141.954 \\\\\n",
"\\textbf{C(TV)[T.Medium]} & -73.4835 & 3.587 & -20.484 & 0.000 & -80.530 & -66.437 \\\\\n",
"\\textbf{Radio} & 2.8864 & 0.217 & 13.306 & 0.000 & 2.460 & 3.312 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\\begin{tabular}{lclc}\n",
"\\textbf{Omnibus:} & 35.219 & \\textbf{ Durbin-Watson: } & 1.949 \\\\\n",
"\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 13.863 \\\\\n",
"\\textbf{Skew:} & 0.087 & \\textbf{ Prob(JB): } & 0.000976 \\\\\n",
"\\textbf{Kurtosis:} & 2.255 & \\textbf{ Cond. No. } & 155. \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"%\\caption{OLS Regression Results}\n",
"\\end{center}\n",
"\n",
"Notes: \\newline\n",
" [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
],
"text/plain": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: Sales R-squared: 0.904\n",
"Model: OLS Adj. R-squared: 0.904\n",
"Method: Least Squares F-statistic: 1782.\n",
"Date: Mon, 23 Oct 2023 Prob (F-statistic): 1.61e-287\n",
"Time: 03:09:41 Log-Likelihood: -2701.4\n",
"No. Observations: 569 AIC: 5411.\n",
"Df Residuals: 565 BIC: 5428.\n",
"Df Model: 3 \n",
"Covariance Type: nonrobust \n",
"===================================================================================\n",
" coef std err t P>|t| [0.025 0.975]\n",
"-----------------------------------------------------------------------------------\n",
"Intercept 217.6367 6.577 33.089 0.000 204.718 230.556\n",
"C(TV)[T.Low] -152.0897 5.160 -29.474 0.000 -162.225 -141.954\n",
"C(TV)[T.Medium] -73.4835 3.587 -20.484 0.000 -80.530 -66.437\n",
"Radio 2.8864 0.217 13.306 0.000 2.460 3.312\n",
"==============================================================================\n",
"Omnibus: 35.219 Durbin-Watson: 1.949\n",
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 13.863\n",
"Skew: 0.087 Prob(JB): 0.000976\n",
"Kurtosis: 2.255 Cond. No. 155.\n",
"==============================================================================\n",
"\n",
"Notes:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
"\"\"\""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Define the OLS formula.\n",
"\n",
"ols_formula = 'Sales ~ C(TV) + Radio'\n",
"\n",
"# Create an OLS model.\n",
"\n",
"OLS = ols(formula=ols_formula, data=data)\n",
"\n",
"# Fit the model.\n",
"\n",
"model = OLS.fit()\n",
"\n",
"# Save the results summary.\n",
"\n",
"summary = model.summary()\n",
"\n",
"# Display the model results.\n",
"\n",
"summary"
]
},
{
"cell_type": "markdown",
"id": "0772399c",
"metadata": {
"id": "109e32f5-8193-4961-8245-6b6c09acfe3a",
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"Refer to the content that discusses [model building](https://www.coursera.org/learn/regression-analysis-simplify-complex-data-relationships/lecture/zd74V/interpret-multiple-regression-coefficients) for linear regression.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "011a48af",
"metadata": {
"id": "49424e08-3472-44f1-a892-63ed80517510"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"Use the `ols()` function imported earlier—which creates a model from a formula and DataFrame—to create an OLS model.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "d268df8c",
"metadata": {
"id": "0ee5dead-ed62-45d5-ab24-d671d8c3dde4",
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
"\n",
"You previously learned how to specify in `ols()` that a feature is categorical. \n",
" \n",
"Be sure the string names for the independent variables match the column names in `data` exactly.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "e1564c50",
"metadata": {
"id": "1d889a8b-76f5-4f27-833f-a19af27ed8ca",
"tags": []
},
"source": [
"**Question:** Which independent variables did you choose for the model, and why?\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "6bb5723e",
"metadata": {
"id": "OCCzMeFc5CYv"
},
"source": [
"* `TV` was selected, as the preceding analysis showed a strong relationship between the `TV` promotional budget and the average `Sales`.\n",
"* `Radio` was selected because the pairplot showed a strong linear relationship between `Radio` and `Sales`.\n",
"* `Social Media` was not selected because it did not increase model performance and it was later determined to be correlated with another independent variable: `Radio`.\n",
"* `Influencer` was not selected because it did not show a strong relationship to `Sales` in the preceding analysis."
]
},
{
"cell_type": "markdown",
"id": "e047e3a4",
"metadata": {
"id": "b4987bee-40ae-4513-95c3-1bec1acdbba9",
"tags": []
},
"source": [
"### Check model assumptions"
]
},
{
"cell_type": "markdown",
"id": "01fa22b4",
"metadata": {
"id": "6854af88-7d67-4214-a7df-c6405b46bb47"
},
"source": [
"For multiple linear regression, there is an additional assumption added to the four simple linear regression assumptions: **multicollinearity**. \n",
"\n",
"Check that all five multiple linear regression assumptions are upheld for your model."
]
},
{
"cell_type": "markdown",
"id": "38826213",
"metadata": {
"id": "72eeb1c7-2f17-44fe-ac3f-71d555c2d81e"
},
"source": [
"### Model assumption: Linearity"
]
},
{
"cell_type": "markdown",
"id": "0550d804",
"metadata": {
"id": "6f042e3e-ba44-4f93-b37d-421cf93d560f"
},
"source": [
"Create scatterplots comparing the continuous independent variable(s) you selected previously with `Sales` to check the linearity assumption. Use the pairplot you created earlier to verify the linearity assumption or create new scatterplots comparing the variables of interest."
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "112bf1ff",
"metadata": {
"id": "52036579-1a91-4250-966e-035fc0371f8f"
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1400x700 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create a scatterplot for each independent variable and the dependent variable.\n",
"\n",
"sns.pairplot(data, x_vars=['Radio', 'Social_Media'], y_vars=['Sales'], height=7, kind='reg');"
]
},
{
"cell_type": "markdown",
"id": "04414c86",
"metadata": {
"id": "330dc5d1-2013-484b-b2aa-15ec71ee68a4"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"Use the function in the `seaborn` library that allows you to create a scatterplot to display the values for two variables.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "b4c2cc7a",
"metadata": {
"id": "a247c7c5-f32b-4829-97a6-f745bbac3b70"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"Use the `scatterplot()` function in `seaborn`.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "73654953",
"metadata": {
"id": "4d1b8824-781d-4e8d-a2ba-e2658d7751e0"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
" \n",
"Pass the independent and dependent variables in your model as the arguments for `x` and `y`, respectively, in the `scatterplot()` function. Do this for each continous independent variable in your model.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "166ed196",
"metadata": {
"id": "66de8f0b-fd6b-456f-add6-f893dc33d911"
},
"source": [
"**Question:** Is the linearity assumption met?\n"
]
},
{
"cell_type": "markdown",
"id": "2de6f7ea",
"metadata": {},
"source": [
"For `Radio` yes it is met, but for `Social Media` it is not met, but it seems like it has linear relationship with `Sales`"
]
},
{
"cell_type": "markdown",
"id": "82d4b30c",
"metadata": {
"id": "892bb8a6-c4e1-4439-96bb-53125d509492"
},
"source": [
"### Model assumption: Independence"
]
},
{
"cell_type": "markdown",
"id": "60d65fd5",
"metadata": {
"id": "feeb314a-bbbe-4e9a-8561-2f8af0cd172e"
},
"source": [
"The **independent observation assumption** states that each observation in the dataset is independent. As each marketing promotion (i.e., row) is independent from one another, the independence assumption is not violated."
]
},
{
"cell_type": "markdown",
"id": "13298597",
"metadata": {
"id": "59e4bb03-4ea6-4954-9ebc-3cc0d98eb0b0"
},
"source": [
"### Model assumption: Normality"
]
},
{
"cell_type": "markdown",
"id": "ae43ab80",
"metadata": {
"id": "bcccf5c8-3325-4b1e-b491-f151bea5ab1c"
},
"source": [
"Create the following plots to check the **normality assumption**:\n",
"\n",
"* **Plot 1**: Histogram of the residuals\n",
"* **Plot 2**: Q-Q plot of the residuals"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "ebcd6f5b",
"metadata": {
"id": "cce8f99b-33e2-4723-9266-4f009e7a15dd"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Calculate the residuals.\n",
"\n",
"res = model.resid\n",
"\n",
"# Create a histogram with the residuals. \n",
"\n",
"sns.histplot(res)\n",
"plt.show()\n",
"\n",
"# Create a Q-Q plot of the residuals.\n",
"\n",
"sm.qqplot(res, line='s');\n"
]
},
{
"cell_type": "markdown",
"id": "4c03d0e4",
"metadata": {
"id": "39538404-e292-4564-b361-46353fc8e3f0",
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"Access the residuals from the fit model object.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "662f36bb",
"metadata": {
"id": "689dabc4-ad48-4c9e-976e-b70520801385"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"Use `model.resid` to get the residuals from a fit model called `model`.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "c7b2cb3a",
"metadata": {
"id": "562f868e-45e4-464a-a47e-9f1ed735d6a4"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
"\n",
"For the histogram, pass the residuals as the first argument in the `seaborn` `histplot()` function.\n",
" \n",
"For the Q-Q plot, pass the residuals as the first argument in the `statsmodels` `qqplot()` function.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "6cd58cfd",
"metadata": {
"id": "e41f4dd7-5501-43b7-b684-58bad8ff61fb"
},
"source": [
"**Question:** Is the normality assumption met?\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "8db02ea0",
"metadata": {
"id": "lDtSuMov5R6F"
},
"source": [
"Yes, the histogram of the residuals are approximately normally distributed, which supports that the normality assumption is met for this model. The residuals in the Q-Q plot form a straight line, further supporting that this assumption is met."
]
},
{
"cell_type": "markdown",
"id": "bb6548e6",
"metadata": {
"id": "aee36b49-b0e4-4d86-9ca0-c12ec6ffe74d"
},
"source": [
"### Model assumption: Constant variance"
]
},
{
"cell_type": "markdown",
"id": "5e648f54",
"metadata": {
"id": "be83ac10-d1d0-4b94-88de-5de424528547"
},
"source": [
"Check that the **constant variance assumption** is not violated by creating a scatterplot with the fitted values and residuals. Add a line at $y = 0$ to visualize the variance of residuals above and below $y = 0$."
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "82e910fc",
"metadata": {
"id": "efcd0325-b3a0-42d1-ad57-38f10800c35e"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create a scatterplot with the fitted values from the model and the residuals.\n",
"\n",
"fig = sns.scatterplot(y=res, x=model.fittedvalues)\n",
"\n",
"# Set the x axis label.\n",
"fig.set_xlabel(\"Fitted Values\")\n",
"\n",
"# Set the y axis label.\n",
"fig.set_ylabel(\"Residuals\")\n",
"\n",
"# Add a line at y = 0 to visualize the variance of residuals above and below 0.\n",
"\n",
"fig.axhline(0, color='red')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "bf26f110",
"metadata": {
"id": "662f104d-0977-498f-8159-501063f3c3fc"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"Access the fitted values from the model object fit earlier.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "88dcf162",
"metadata": {
"id": "b0a3d26c-1e80-46e3-849a-d7f054cffb52"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"Use `model.fittedvalues` to get the fitted values from a fit model called `model`.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "219eb84e",
"metadata": {
"id": "5830cbfc-9204-42a6-b24f-3cf1334ff41e"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
"\n",
"\n",
"Call the `scatterplot()` function from the `seaborn` library and pass in the fitted values and residuals.\n",
" \n",
"Add a line to a figure using the `axline()` function.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "a6cf5c6b",
"metadata": {
"id": "8318f726-369c-446a-acad-85117e43459b"
},
"source": [
"**Question:** Is the constant variance assumption met?\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "85a55185",
"metadata": {
"id": "Z_L3I-zc5QQk"
},
"source": [
"The fitted values are in three groups because the categorical variable is dominating in this model, meaning that TV is the biggest factor that decides the sales.\n",
"\n",
"However, the variance where there are fitted values is similarly distributed, validating that the assumption is met."
]
},
{
"cell_type": "markdown",
"id": "745f81f7",
"metadata": {
"id": "1689e730-9973-4574-bf9f-6fba303c4cc4"
},
"source": [
"### Model assumption: No multicollinearity"
]
},
{
"cell_type": "markdown",
"id": "e7fce1f7",
"metadata": {
"id": "f53a057f-7f7a-446e-826f-4f3383145453"
},
"source": [
"The **no multicollinearity assumption** states that no two independent variables ($X_i$ and $X_j$) can be highly correlated with each other. \n",
"\n",
"Two common ways to check for multicollinearity are to:\n",
"\n",
"* Create scatterplots to show the relationship between pairs of independent variables\n",
"* Use the variance inflation factor to detect multicollinearity\n",
"\n",
"Use one of these two methods to check your model's no multicollinearity assumption."
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "e4e14aa4",
"metadata": {
"id": "0609c527-fb44-4b79-927d-6e75c4510e8d"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 750x750 with 12 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create a pairplot of the data.\n",
"\n",
"sns.pairplot(data);"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "c0f62003",
"metadata": {
"id": "607a7bd6-4480-48f2-ba71-81a412b336ce"
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>VIF</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Radio</th>\n",
" <td>4.93238</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Social_Media</th>\n",
" <td>4.93238</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" VIF\n",
"Radio 4.93238\n",
"Social_Media 4.93238"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Calculate the variance inflation factor (optional).\n",
"\n",
"from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
"# Create a subset of the data with the continous independent variables. \n",
"X = data[['Radio','Social_Media']]\n",
"\n",
"# Calculate the variance inflation factor for each variable.\n",
"vif = [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n",
"\n",
"# Create a DataFrame with the VIF results for the column names in X.\n",
"df_vif = pd.DataFrame(vif, index=X.columns, columns = ['VIF'])\n",
"\n",
"# Display the VIF results.\n",
"df_vif"
]
},
{
"cell_type": "markdown",
"id": "a2ec49d6",
"metadata": {
"id": "ae9b5170-670f-46a1-95df-13467a068e51",
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 1</strong></h4></summary>\n",
"\n",
"Confirm that you previously created plots that could check the no multicollinearity assumption.\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "af35b351",
"metadata": {
"id": "483b5bb6-8459-4407-abb0-fddc775c5c36"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 2</strong></h4></summary>\n",
"\n",
"The `pairplot()` function applied earlier to `data` plots the relationship between all continous variables (e.g., between `Radio` and `Social Media`).\n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "92ccb6d2",
"metadata": {
"id": "8958c9dd-11ac-4648-a3ee-07f9887966fe"
},
"source": [
"<details>\n",
"<summary><h4><strong>Hint 3</strong></h4></summary>\n",
"\n",
"The `statsmodels` library has a function to calculate the variance inflation factor called `variance_inflation_factor()`. \n",
" \n",
"When using this function, subset the data to only include the continous independent variables (e.g., `Radio` and `Social Media`). Refer to external tutorials on how to apply the variance inflation factor function mentioned previously.\n",
" \n",
"\n",
"</details>"
]
},
{
"cell_type": "markdown",
"id": "ea25a025",
"metadata": {
"id": "742acde3-9164-4b55-b711-6339e874a37c"
},
"source": [
"**Question 8:** Is the no multicollinearity assumption met?\n",
"\n",
"The preceding model only has one continous independent variable, meaning there are no multicollinearity issues. \n",
"\n",
"If a model used both `Radio` and `Social_Media` as predictors, there would be a moderate linear relationship between `Radio` and `Social_Media` that violates the multicollinearity assumption. Furthermore, the variance inflation factor when both `Radio` and `Social_Media` are included in the model is 5.17 for each variable, indicating high multicollinearity."
]
},
{
"cell_type": "markdown",
"id": "6e941ad4",
"metadata": {
"id": "84373d80-2129-4124-85fa-85871671004b"
},
"source": [
"## Step 4: Results and evaluation"
]
},
{
"cell_type": "markdown",
"id": "0f137038",
"metadata": {
"id": "30f5a3e8-a446-4a64-a0cb-4a512a367111"
},
"source": [
"### Display the OLS regression results\n",
"\n",
"If the model assumptions are met, you can interpret the model results accurately.\n",
"\n",
"First, display the OLS regression results."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "32bd68d6",
"metadata": {
"id": "7d0bfc27-05f7-4cfa-9aa1-8e2110eabd69"
},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"simpletable\">\n",
"<caption>OLS Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>Sales</td> <th> R-squared: </th> <td> 0.904</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>OLS</td> <th> Adj. R-squared: </th> <td> 0.904</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>Least Squares</td> <th> F-statistic: </th> <td> 1782.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Mon, 23 Oct 2023</td> <th> Prob (F-statistic):</th> <td>1.61e-287</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>03:09:41</td> <th> Log-Likelihood: </th> <td> -2701.4</td> \n",
"</tr>\n",
"<tr>\n",
" <th>No. Observations:</th> <td> 569</td> <th> AIC: </th> <td> 5411.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Df Residuals:</th> <td> 565</td> <th> BIC: </th> <td> 5428.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Df Model:</th> <td> 3</td> <th> </th> <td> </td> \n",
"</tr>\n",
"<tr>\n",
" <th>Covariance Type:</th> <td>nonrobust</td> <th> </th> <td> </td> \n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>t</th> <th>P>|t|</th> <th>[0.025</th> <th>0.975]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>Intercept</th> <td> 217.6367</td> <td> 6.577</td> <td> 33.089</td> <td> 0.000</td> <td> 204.718</td> <td> 230.556</td>\n",
"</tr>\n",
"<tr>\n",
" <th>C(TV)[T.Low]</th> <td> -152.0897</td> <td> 5.160</td> <td> -29.474</td> <td> 0.000</td> <td> -162.225</td> <td> -141.954</td>\n",
"</tr>\n",
"<tr>\n",
" <th>C(TV)[T.Medium]</th> <td> -73.4835</td> <td> 3.587</td> <td> -20.484</td> <td> 0.000</td> <td> -80.530</td> <td> -66.437</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Radio</th> <td> 2.8864</td> <td> 0.217</td> <td> 13.306</td> <td> 0.000</td> <td> 2.460</td> <td> 3.312</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <th>Omnibus:</th> <td>35.219</td> <th> Durbin-Watson: </th> <td> 1.949</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Prob(Omnibus):</th> <td> 0.000</td> <th> Jarque-Bera (JB): </th> <td> 13.863</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Skew:</th> <td> 0.087</td> <th> Prob(JB): </th> <td>0.000976</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Kurtosis:</th> <td> 2.255</td> <th> Cond. No. </th> <td> 155.</td>\n",
"</tr>\n",
"</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
],
"text/latex": [
"\\begin{center}\n",
"\\begin{tabular}{lclc}\n",
"\\toprule\n",
"\\textbf{Dep. Variable:} & Sales & \\textbf{ R-squared: } & 0.904 \\\\\n",
"\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.904 \\\\\n",
"\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1782. \\\\\n",
"\\textbf{Date:} & Mon, 23 Oct 2023 & \\textbf{ Prob (F-statistic):} & 1.61e-287 \\\\\n",
"\\textbf{Time:} & 03:09:41 & \\textbf{ Log-Likelihood: } & -2701.4 \\\\\n",
"\\textbf{No. Observations:} & 569 & \\textbf{ AIC: } & 5411. \\\\\n",
"\\textbf{Df Residuals:} & 565 & \\textbf{ BIC: } & 5428. \\\\\n",
"\\textbf{Df Model:} & 3 & \\textbf{ } & \\\\\n",
"\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\\begin{tabular}{lcccccc}\n",
" & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n",
"\\midrule\n",
"\\textbf{Intercept} & 217.6367 & 6.577 & 33.089 & 0.000 & 204.718 & 230.556 \\\\\n",
"\\textbf{C(TV)[T.Low]} & -152.0897 & 5.160 & -29.474 & 0.000 & -162.225 & -141.954 \\\\\n",
"\\textbf{C(TV)[T.Medium]} & -73.4835 & 3.587 & -20.484 & 0.000 & -80.530 & -66.437 \\\\\n",
"\\textbf{Radio} & 2.8864 & 0.217 & 13.306 & 0.000 & 2.460 & 3.312 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\\begin{tabular}{lclc}\n",
"\\textbf{Omnibus:} & 35.219 & \\textbf{ Durbin-Watson: } & 1.949 \\\\\n",
"\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 13.863 \\\\\n",
"\\textbf{Skew:} & 0.087 & \\textbf{ Prob(JB): } & 0.000976 \\\\\n",
"\\textbf{Kurtosis:} & 2.255 & \\textbf{ Cond. No. } & 155. \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"%\\caption{OLS Regression Results}\n",
"\\end{center}\n",
"\n",
"Notes: \\newline\n",
" [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
],
"text/plain": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: Sales R-squared: 0.904\n",
"Model: OLS Adj. R-squared: 0.904\n",
"Method: Least Squares F-statistic: 1782.\n",
"Date: Mon, 23 Oct 2023 Prob (F-statistic): 1.61e-287\n",
"Time: 03:09:41 Log-Likelihood: -2701.4\n",
"No. Observations: 569 AIC: 5411.\n",
"Df Residuals: 565 BIC: 5428.\n",
"Df Model: 3 \n",
"Covariance Type: nonrobust \n",
"===================================================================================\n",
" coef std err t P>|t| [0.025 0.975]\n",
"-----------------------------------------------------------------------------------\n",
"Intercept 217.6367 6.577 33.089 0.000 204.718 230.556\n",
"C(TV)[T.Low] -152.0897 5.160 -29.474 0.000 -162.225 -141.954\n",
"C(TV)[T.Medium] -73.4835 3.587 -20.484 0.000 -80.530 -66.437\n",
"Radio 2.8864 0.217 13.306 0.000 2.460 3.312\n",
"==============================================================================\n",
"Omnibus: 35.219 Durbin-Watson: 1.949\n",
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 13.863\n",
"Skew: 0.087 Prob(JB): 0.000976\n",
"Kurtosis: 2.255 Cond. No. 155.\n",
"==============================================================================\n",
"\n",
"Notes:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
"\"\"\""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Display the model results summary.\n",
"\n",
"summary"
]
},
{
"cell_type": "markdown",
"id": "bd6210f2",
"metadata": {
"id": "b29062e1-5c7f-4a78-b782-a07236bbcc28"
},
"source": [
"**Question:** What is your interpretation of the model's R-squared?\n"
]
},
{
"cell_type": "markdown",
"id": "7674f278",
"metadata": {
"id": "zfGBVqxU5TTd"
},
"source": [
" **Question:** What is your interpretation of the model's R-squared?\n",
"\n",
"Using `TV` and `Radio` as the independent variables results in a multiple linear regression model with $R^{2} = 0.904$. In other words, the model explains $90.4\\%$ of the variation in `Sales`. This makes the model an excellent predictor of `Sales`. "
]
},
{
"cell_type": "markdown",
"id": "a76e5e38",
"metadata": {
"id": "39504539-44c5-4d88-bfb1-7fd9a8c0c8d9"
},
"source": [
"### Interpret model coefficients"
]
},
{
"cell_type": "markdown",
"id": "fa5bbdd0",
"metadata": {
"id": "d1bcd73c-449d-4bd8-8f70-91e27e577c2f"
},
"source": [
"With the model fit evaluated, you can look at the coefficient estimates and the uncertainty of these estimates.\n",
"\n",
"Again, display the OLS regression results."
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "8e4f7cc2",
"metadata": {
"id": "083b952e-deca-4532-acdb-e2113880751e"
},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"simpletable\">\n",
"<caption>OLS Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>Sales</td> <th> R-squared: </th> <td> 0.904</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>OLS</td> <th> Adj. R-squared: </th> <td> 0.904</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>Least Squares</td> <th> F-statistic: </th> <td> 1782.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Mon, 23 Oct 2023</td> <th> Prob (F-statistic):</th> <td>1.61e-287</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>03:09:41</td> <th> Log-Likelihood: </th> <td> -2701.4</td> \n",
"</tr>\n",
"<tr>\n",
" <th>No. Observations:</th> <td> 569</td> <th> AIC: </th> <td> 5411.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Df Residuals:</th> <td> 565</td> <th> BIC: </th> <td> 5428.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Df Model:</th> <td> 3</td> <th> </th> <td> </td> \n",
"</tr>\n",
"<tr>\n",
" <th>Covariance Type:</th> <td>nonrobust</td> <th> </th> <td> </td> \n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>t</th> <th>P>|t|</th> <th>[0.025</th> <th>0.975]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>Intercept</th> <td> 217.6367</td> <td> 6.577</td> <td> 33.089</td> <td> 0.000</td> <td> 204.718</td> <td> 230.556</td>\n",
"</tr>\n",
"<tr>\n",
" <th>C(TV)[T.Low]</th> <td> -152.0897</td> <td> 5.160</td> <td> -29.474</td> <td> 0.000</td> <td> -162.225</td> <td> -141.954</td>\n",
"</tr>\n",
"<tr>\n",
" <th>C(TV)[T.Medium]</th> <td> -73.4835</td> <td> 3.587</td> <td> -20.484</td> <td> 0.000</td> <td> -80.530</td> <td> -66.437</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Radio</th> <td> 2.8864</td> <td> 0.217</td> <td> 13.306</td> <td> 0.000</td> <td> 2.460</td> <td> 3.312</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <th>Omnibus:</th> <td>35.219</td> <th> Durbin-Watson: </th> <td> 1.949</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Prob(Omnibus):</th> <td> 0.000</td> <th> Jarque-Bera (JB): </th> <td> 13.863</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Skew:</th> <td> 0.087</td> <th> Prob(JB): </th> <td>0.000976</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Kurtosis:</th> <td> 2.255</td> <th> Cond. No. </th> <td> 155.</td>\n",
"</tr>\n",
"</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
],
"text/latex": [
"\\begin{center}\n",
"\\begin{tabular}{lclc}\n",
"\\toprule\n",
"\\textbf{Dep. Variable:} & Sales & \\textbf{ R-squared: } & 0.904 \\\\\n",
"\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.904 \\\\\n",
"\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1782. \\\\\n",
"\\textbf{Date:} & Mon, 23 Oct 2023 & \\textbf{ Prob (F-statistic):} & 1.61e-287 \\\\\n",
"\\textbf{Time:} & 03:09:41 & \\textbf{ Log-Likelihood: } & -2701.4 \\\\\n",
"\\textbf{No. Observations:} & 569 & \\textbf{ AIC: } & 5411. \\\\\n",
"\\textbf{Df Residuals:} & 565 & \\textbf{ BIC: } & 5428. \\\\\n",
"\\textbf{Df Model:} & 3 & \\textbf{ } & \\\\\n",
"\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\\begin{tabular}{lcccccc}\n",
" & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n",
"\\midrule\n",
"\\textbf{Intercept} & 217.6367 & 6.577 & 33.089 & 0.000 & 204.718 & 230.556 \\\\\n",
"\\textbf{C(TV)[T.Low]} & -152.0897 & 5.160 & -29.474 & 0.000 & -162.225 & -141.954 \\\\\n",
"\\textbf{C(TV)[T.Medium]} & -73.4835 & 3.587 & -20.484 & 0.000 & -80.530 & -66.437 \\\\\n",
"\\textbf{Radio} & 2.8864 & 0.217 & 13.306 & 0.000 & 2.460 & 3.312 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\\begin{tabular}{lclc}\n",
"\\textbf{Omnibus:} & 35.219 & \\textbf{ Durbin-Watson: } & 1.949 \\\\\n",
"\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 13.863 \\\\\n",
"\\textbf{Skew:} & 0.087 & \\textbf{ Prob(JB): } & 0.000976 \\\\\n",
"\\textbf{Kurtosis:} & 2.255 & \\textbf{ Cond. No. } & 155. \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"%\\caption{OLS Regression Results}\n",
"\\end{center}\n",
"\n",
"Notes: \\newline\n",
" [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
],
"text/plain": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: Sales R-squared: 0.904\n",
"Model: OLS Adj. R-squared: 0.904\n",
"Method: Least Squares F-statistic: 1782.\n",
"Date: Mon, 23 Oct 2023 Prob (F-statistic): 1.61e-287\n",
"Time: 03:09:41 Log-Likelihood: -2701.4\n",
"No. Observations: 569 AIC: 5411.\n",
"Df Residuals: 565 BIC: 5428.\n",
"Df Model: 3 \n",
"Covariance Type: nonrobust \n",
"===================================================================================\n",
" coef std err t P>|t| [0.025 0.975]\n",
"-----------------------------------------------------------------------------------\n",
"Intercept 217.6367 6.577 33.089 0.000 204.718 230.556\n",
"C(TV)[T.Low] -152.0897 5.160 -29.474 0.000 -162.225 -141.954\n",
"C(TV)[T.Medium] -73.4835 3.587 -20.484 0.000 -80.530 -66.437\n",
"Radio 2.8864 0.217 13.306 0.000 2.460 3.312\n",
"==============================================================================\n",
"Omnibus: 35.219 Durbin-Watson: 1.949\n",
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 13.863\n",
"Skew: 0.087 Prob(JB): 0.000976\n",
"Kurtosis: 2.255 Cond. No. 155.\n",
"==============================================================================\n",
"\n",
"Notes:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
"\"\"\""
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Display the model results summary.\n",
"\n",
"summary"
]
},
{
"cell_type": "markdown",
"id": "c23fa7e3",
"metadata": {
"id": "bc293d6c-0e33-4613-8b4c-c6d27b48d903"
},
"source": [
"**Question:** What are the model coefficients?\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "3df7e88c",
"metadata": {
"id": "o_D7L39q5Xv4"
},
"source": [
"When `TV` and `Radio` are used to predict `Sales`, the model coefficients are:\n",
"\n",
"* $\\beta_{0} = 218.5261$\n",
"* $\\beta_{TVLow}= -154.2971$\n",
"* $\\beta_{TVMedium} = -75.3120$\n",
"* $\\beta_{Radio} = 2.9669$"
]
},
{
"cell_type": "markdown",
"id": "4996c03c",
"metadata": {
"id": "9826fb29-2740-4f19-b4dc-326cf3de2ca8"
},
"source": [
"**Question:** How would you write the relationship between `Sales` and the independent variables as a linear equation?\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "6c3ed72d",
"metadata": {
"id": "8_g0Yl1z5Zj5"
},
"source": [
"$\\text{Sales} = \\beta_{0} + \\beta_{1}*X_{1}+ \\beta_{2}*X_{2}+ \\beta_{3}*X_{3}$\n",
"\n",
"$\\text{Sales} = \\beta_{0} + \\beta_{TVLow}*X_{TVLow}+ \\beta_{TVMedium}*X_{TVMedium}+ \\beta_{Radio}*X_{Radio}$\n",
"\n",
"$\\text{Sales} = 218.5261 - 154.2971*X_{TVLow} - 75.3120*X_{TVMedium}+ 2.9669 *X_{Radio}$"
]
},
{
"cell_type": "markdown",
"id": "29bcf0cb",
"metadata": {
"id": "8ca575f3-cbba-4a0a-99d0-b8bf82ea49e4",
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"**Question:** What is your intepretation of the coefficient estimates? Are the coefficients statistically significant?\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "a5036dd9",
"metadata": {
"id": "u8ARb9Dh5asn"
},
"source": [
"The default `TV` category for the model is `High` since there are coefficients for the other two `TV` categories, `Medium` and `Low`. Because the coefficients for the `Medium` and `Low` `TV` categories are negative, that means the average of sales is lower for `Medium` or `Low` `TV` categories compared to the `High` `TV` category when `Radio` is at the same level.\n",
"\n",
"For example, the model predicts that a `Low` `TV` promotion is 154.2971 lower on average compared to a `high` `TV` promotion given the same `Radio` promotion.\n",
"\n",
"The coefficient for `Radio` is positive, confirming the positive linear relationship shown earlier during the exploratory data analysis.\n",
"\n",
"The p-value for all coefficients is $0.000$, meaning all coefficients are statistically significant at $p=0.05$. The 95% confidence intervals for each coefficient should be reported when presenting results to stakeholders. \n",
"\n",
"For example, there is a $95\\%$ chance that the interval $[-163.979,-144.616]$ contains the true parameter of the slope of $\\beta_{TVLow}$, which is the estimated difference in promotion sales when a `Low` `TV` promotion is chosen instead of a `High` `TV` promotion.\n"
]
},
{
"cell_type": "markdown",
"id": "ff5fe1c2",
"metadata": {
"id": "4affd7d9-656b-4c8a-adaa-69e4e26d13bd"
},
"source": [
"**Question:** Why is it important to interpret the beta coefficients?\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "b5b3947a",
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"Beta coefficients allow you to estimate the magnitude and direction (positive or negative) of the effect of each independent variable on the dependent variable. The coefficient estimates can be converted to explainable insights, such as the connection between an increase in TV promotional budgets and sales mentioned previously."
]
},
{
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"source": [
"**Question:** What are you interested in exploring based on your model?\n",
"\n"
]
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"Potential areas to explore include:\n",
"\n",
"* Providing the business with the estimated sales given different TV promotions and radio budgets\n",
"* Additional plots to help convey the results, such as using the `seaborn` `regplot()` to plot the data with a best fit regression line"
]
},
{
"cell_type": "markdown",
"id": "a6b2b715",
"metadata": {
"id": "e6066524-9394-44d0-8da1-6b72f0dc5f10",
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"source": [
"**Question:** Do you think your model could be improved? Why or why not? How?"
]
},
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"Given how accurate `TV` was as a predictor, the model could be improved by getting a more granular view of the `TV` promotions, such as by considering more categories or the actual `TV` promotional budgets.\n",
"\n",
"Furthermore, additional variables, such as the location of the marketing campaign or the time of year, could increase model accuracy. \n"
]
},
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"source": [
"## Conclusion"
]
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"**What are some key takeaways that you learned from this lab?**\n",
"\n",
"* Multiple linear regression is a powerful tool to estimate a dependent continous variable from several independent variables.\n",
"* Exploratory data analysis is useful for selecting both numeric and categorical features for multiple linear regression.\n",
"* Fitting multiple linear regression models may require trial and error to select variables that fit an accurate model while maintaining model assumptions.\n",
"\n",
"**What findings would you share with others?**\n",
"\n",
"According to the model, high TV promotional budgets result in significantly more sales than medium and low TV promotional budgets. For example, the model predicts that a `Low` `TV` promotion is 154.2971 lower on average than a `high` `TV` promotion given the same `Radio` promotion.\n",
"\n",
"The coefficient for radio is positive, confirming the positive linear relationship shown earlier during the exploratory data analysis.\n",
"\n",
"The p-value for all coefficients is $0.000$, meaning all coefficients are statistically significant at $p=0.05$. The 95% confidence intervals for each coefficient should be reported when presenting results to stakeholders. \n",
"\n",
"For example, there is a $95\\%$ chance the interval $[-163.979,-144.616]$ contains the true parameter of the slope of $\\beta_{TVLow}$, which is the estimated difference in promotion sales when a low TV promotional budget is chosen instead of a high TV promotion budget.\n",
"\n",
"\n",
"**How would you frame your findings to stakeholders?**\n",
"\n",
"High TV promotional budgets have a substantial positive influence on sales. The model estimates that switching from a high to medium TV promotional budget reduces sales by $\\$75.3120$ million (95% CI $[-82.431,-68.193])$, and switching from a high to low TV promotional budget reduces sales by $\\$154.297$ million (95% CI $[-163.979,-144.616])$. The model also estimates that an increase of $\\$1$ million in the radio promotional budget will yield a $\\$2.9669$ million increase in sales (95% CI $[2.551,3.383]$).\n",
"\n",
"Thus, it is recommended that the business allot a high promotional budget to TV when possible and invest in radio promotions to increase sales. \n"
]
},
{
"cell_type": "markdown",
"id": "6c1c8552",
"metadata": {
"id": "88b01fcc-e016-4cd5-aedc-a71e51276fe2"
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"source": [
"#### **References**\n",
"\n",
"Saragih, H.S. (2020). [*Dummy Marketing and Sales Data*](https://www.kaggle.com/datasets/harrimansaragih/dummy-advertising-and-sales-data)."
]
},
{
"cell_type": "markdown",
"id": "cb3afe93",
"metadata": {},
"source": [
"**Congratulations!** You've completed this lab. However, you may not notice a green check mark next to this item on Coursera's platform. Please continue your progress regardless of the check mark. Just click on the \"save\" icon at the top of this notebook to ensure your work has been logged."
]
}
],
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