These problems provide a general introduction to the basic concepts of single and multiple regressions. Topics covered include heteroskedasticity, autocorrelation, dummy variables, R2 versus standard deviation of residuals, uncertainty in the coefficient, analysis of uncertainty in point prediction from regression model, impact of excluding variable on model, and common sense in model building.