4. (9pt) Below is a scatter plot of the response variable Y versus the predictor X. The straight line is our fitted SLR. line. 760 0 -2 -1 (a) B1 =_ (note: this can be approximated from basic algebra, need not do least squares) (b) Which of the followings will be changed if we change the units of Y (for example, convert values from kilograms to pounds). (Circle ALL RESPONSES that apply.) i. The variance of Y. ii. The adjusted R-squared. iii. The estimated coefficients (Bs). iv. The confidence interval for the coefficients. v. The t-statistics for testing whether a coefficient equals zero. vi. The degrees of freedom of the overall F-test. vii. The sum of squared residuals