Answer and explain the reason with showing work

11. OLS minimizes A. the differences between the collinearity of the explanatory variables. B. heteroscedasticity. autocorrelation. the residual sum of squares. E. All of the above Use the following data on Y and X to answer Questions 12 through 17 below: K X IN 0 3 3 3 12. The sample correlation coefficient (r) between X and Y is equal to: A. 0.833 B. 0.563 0.866 D. 0.50 13 The estimated intercept coefficient associated with the simple OLS regression of Y on X is: A. 0.5 B. 1.5 2 14 The coefficient of determination (R?) is: A 0.25 B. 0.50 C. 0.75 D. 1