please help!

1. We have a residual plot for the regression model -. . Look at the residual plot. What can you say about the assumption of constant variance. Linear Regression Results The REG Procedure Model: Linear_Regression_Model Dependent Variable: Y Residual by Predicted for Y 10 Residual 10 - -20 46 46 50 52 Predicted Value O The assumption of constant variance is violated since the variation is increasing as y-hat increases O The assumption of constant variance is not violated since the variation remains about the same as y-hat increases. SAVE VIEW CORRECT ANSWER2. We have a probability plot for the regression model: y = Bo + B1X1 + B2X2 + e. Look at the probability plot. What can you say about the assumption of normality. Capability analysis of: residual_Y 20 15 10 . 5 Residual 10 25 50 90 95 99 Normal Percentiles Normal Line: MU-0, Sigma-8 3526 O Since the points are close to the line without a serious departure from a straight line then we can say the assumption of normality is nearly satisfied O Since the points are close to the line without a serious departure from a straight line then we can say the assumption of normality is seriously violated O Since the points have a serious departure from a straight line then we can say the assumption of normality is nearly satisfied O Since the points have a serious departure from a straight line then we can say the assumption of normality is violated O none of these SAVE VIEW CORRECT