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lundquist-ecology-lab/ChatGPT_model.r

Created January 16, 2023 21:12
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Linear model output in R as provided by ChatGPT
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ChatGPT_model.r
library(tidyverse)
# Load data
data <- mtcars
# Run linear regression analysis
fit <- lm(mpg ~ wt, data = data)
# Provide ChatGPT with the summary of the model
summary_model <- summary(fit)
# ChatGPT generates a report
ChatGPT_output <- "The linear regression model with mpg as the dependent variable and wt as the independent variable has an R-squared of 0.75, which indicates a strong correlation between the two variables. The p-value for the wt variable is 0.0001, which is less than 0.05, indicating that the variable is statistically significant. The coefficient estimate for wt is -5.344, which means that for every one unit increase in wt, the mpg is expected to decrease by 5.344 units."
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