1. Describe linear relationships and prediction rules for bivariate and multiple regression models.
2. Construct and interpret straight-line graphs and best-fitting lines.
3. Calculate and interpret a and b.
4. Calculate and interpret the coefficient of determination (r²) and Pearson’s correlation coefficient (r).
5. Interpret multiple regression output.
6. Test the significance of r² and R² using ANOVA.