1. What is the difference in the hypotheses tested in single and multiple regression using the Significance F ‐statistic? 2. What is multicollinearity, and how is it measured? What problems can it cause in regression results? 3. Describe the systematic process for building a good regression model. 4. Describe the differences and advantages/disadvantages of using stepwise and best‐subsets approaches in building regression models.