Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and nonnegative outcomes. I argue here that much of the difficulty ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Making individual predictions If we know the value of several explanatory variables for an individual, but do not know the value of that individual’s dependent variable, we can use the prediction ...

The formula argument of Income ~ Age + Politic + Edu means, "Create a linear regression model where Income is the dependent variable, and Age, Politic, and Edu are the dependent variables.

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...

Methods to determine the validity of regression models include comparison of model predictions and coefficients with theory, collection of new data to check model predictions, comparison of results ...

A lack of homoskedasticity may suggest that the regression model may need to include additional predictor variables to explain the performance of the dependent variable.

And, in fact, if you combine the intercept estimate with the estimate for non-Hispanic blacks, you get 49.3–23.7 = 25.6, exactly what we saw in the simple tabulation above. Multiple regression models ...