Code and data for my blog post, 6 ways to run a "simple" regression, in which I ran a regression of health vs. income using the following 6 tools:
- Excel
- R
- Stata
- SAS
- PSPP
- Python (statsmodels)
In each of these tools, I ran the regression, drew diagnostic plots to assess the model fit, tried to identify outliers, and created a dataset with the fitted values and residuals.
I hope this will showcase the different approaches of each tool take toward running a simple linear regression.