Regression Analysis: midterm 2 versus midterm 1 The regression equation is midterm 2 = 28.02 0.6589 midterm 1 S = 5.78809 R-Sq = 60.5% R-Sq(adj) = 60.3% Analysis of Variance Source DF SS MS F P Regression 1 11455.3 11455.3 341.93 0.000 Error 223 7470.9 33.5 Total 224 18926.2 1. [1 point] What is the fitted least squares regression line? 2. [1 point] What is the fitted intercept? 3. [1 point] What is the fitted slope? 4. [1 point] How does the grade on midterm 2 tend to change per one point increase on midterm 1? 5. [2 points] How does the grade on midterm 2 tend to change per ten point increase on midterm 1? 6. [1 point] What amount of variability in the midterm 2 grades is left unexplained when their mean is used as a single-number summary to predict (or "explain") the midterm 2 grades? 10 7. [1 point] What amount of variability in the midterm 2 grades is left unexplained when the midterm 1 grades are used to predict (or "explain") the midterm 2 scores through a linear relationship? 8. [1 point] What amount of variability in the midterm 2 grades is explained when the midterm