This semester, we will delve into the realm of multiple OLS regression and its application in estimating causal effects.
OLS regression is the backbone of social data science.
How do we generalize from samples and why is randomness so extremely important in statistics.
Assumptions, categorical predictors, binary outcomes, and visualization
Correlation ≠ causation! But why?