Question 16: Suppose you have built a multiple linear regression model according to Y = [30 + [31}{1 + 82.x; + [33}:3 + e. If you were to test H0431 = [33 = .3- versus H1431 001133 a 0 you would use a. t-test b. F-test based on an ANOVA c. Partial F-test Question 17: In simple linear regression, assume we used a t-test for [10:31 : 0vsH1:[31 a 0, and we rejected the null hypothesis at the specied or level. We would conclude that: The linear regression model is useful compared with Y There is no linear relationship between X and Y The relationship between X and Y is quadratic ear-re There is no relationship between X and Y Question 18: Which ofthe following cases lead to multicollinearity? There are indicator variables being used as predictors A predictor can be expressed as a linear combination of other predictors The variances across all predictors are not the same The predicto rs are not normally distributed and are positively skewed page