1. The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables. SS F MS 700 Source dr Regression Error Total 1000 The degrees of freedom for regression is A 1 B. 4 C. 34 D. 30 2. Multiple regression analysis produced the following tables. Intercept X X2 Coefficients Standard Errort Statistic! P-value 752.0833 336.31582 236241 0.042132 11.87375 5.32047 2.2317110.042493 1.908183 0.662742 2.879226 0.01213 Regression Residual Total di SS MS F P-value 2 203693.3 101846.7 6.745406 0.010884 12181184.1 15098.67 14384877.4 These results indicate A. none of the predictor variables are significant at the 5% level B. each predictor variable is significant at the 5% level C. X, is the only predictor variable significant at the 5% level D. X, is the only predictor variable significant at the 5% level 9 3. The following data is to be used to construct a regression model: 57415 12 9 12 26 16 13 x ly 8 The value of the coefficient of determination is A. 0.78 B. 0.88 C. 0.36 D. 0.61