regression questions.ipynb

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   "source": [
    "# Regression questions\n",
    "\n",
    "consider the response variable (price) and independent variable (bore). "
   ]
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   "source": [
    "## r.1"
   ]
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   "source": [
    "load imports-85\n",
    "ds = dataset(X(:,7),X(:,8),X(:,9),X(:,15),'Varnames',{'curb_weight','engine_size','bore','price'});\n",
    "\n",
    "mdl=fitlm(ds,'price~bore');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## r.1.1 (5 pts) plot the regression of price vs. bore"
   ]
  },
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   "metadata": {},
   "source": [
    "## r.1.2 (10 pts) for the same model, what the $p$-value and $t$ statistic for $$H_1: \\beta_1=0$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## r.1.3 (10 pts) for the same model, what are the $p$-value and $t$ statistic for $$H_1: \\beta_1=100$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## r.1.4 (10 pts) Are the data consistent with the assumptions of the model? "
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## r.2 "
   ]
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   "metadata": {
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   "outputs": [],
   "source": [
    "mdl=fitlm(ds,'bore~engine_size');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## r.2.1 (5 pts) plot the regression of bore vs. engine_size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## r.2.2 (10 pts) for the same model, what the $p$-value and $t$ statistic for $$H_1: \\beta_1=0$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## r.2.3 (10 pts) Are the data consistent with the assumptions of the model? "
   ]
  }
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