Suppose we estimate the regression coefficients in a linear regression model by minimizing residual sums of square RSS 4 RSS = ( -B - _ Bjxy) j=1 subject to for a particular value of s. After standardizing all four predictors, we find that the least- square regression model estimates of Bo, B1, 82, 83 and B, are -0.35, 0.15, - 0.23, 1.10, and 0.63, respectively, with RSS = 106.5 and total sums of square, TSS = 512.4. (a) What would happen to the RSS when s decreases from 2 to 0? Justify your answers. (b) What would most likely happen to the value of 31 when s decreases from 2 to 0