This primer offers a brief introduction to the intuition and interpretation of regression models. We cover concepts such as variance, covariance, linear and non-linear regressions, the ordinary least squares method, standard errors, coefficients, t-statistics, null hypotheses, constants, marginal effects, and selecting the appropriate regression model.
Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (statalist.org) offer valuable support. Additionally, search engines (e.g., Google and Bing) and artificial intelligence tools (e.g., ChatGPT and Gemini) can assist you in finding the code you need.
You can download the datasets, additional explanations, and the Stata "Do Files" for the tutorial by following this link:
https://drive.google.com/drive/folders/1dD_XvNMlJ9J-HfNzzRo5ZeaJ9_Zqo654?usp=sharing