Assess learners' ability to build and apply linear regression models to forecast sales from business datasets, including data preparation and feature selection, fitting and evaluating models (R², RMSE), diagnosing assumptions (linearity, homoscedasticity, multicollinearity), interpreting coefficient sign, magnitude and statistical significance, creating prediction intervals, and translating findings into actionable business recommendations.