Statistics Made Easy 5.1: Introduction to Multivariate Statistics and Regressions

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.

You can download the datasets, additional explanations, and the Stata "Do Files" for the tutorial by following this link: