Q1 0.5 Points There are two interpretations of y\". It can be an estimate of the average value of the response variable for a given value of the explanatory variable; it can also be a prediction of a single value of the response variable for a given value of the explanatory variable. 0 True 0 False Save Answer 02 0.5 Points Which of the following statements is correct? 0 Under some circumstances, the prediction interval is the same as the condence interval for a given value of the explanatory variable. 0 Prediction intervals for a single response are narrower than the corresponding condence interval for the average response for a given value of the explanatory variable. 0 There is greater variability involved in predicting the value of a single response than the average of the responses. Save Answer 03 0.5 Points ln ANOVA, the total sum of squares is equal to the regression sum of squares plus the residual sum of squares. 0 True 0 False Q4 0.5 Points In ANOVA, the total mean squares is equal to the regression means squares plus the residual mean squares. 0 True 0 False Save Answer 05 0.5 Points In simple linear regression. the ANOVA F test tests equivalent hypothesis to a two-sided t-test for the slope. 0 True 0 False 08 0.5 Points What is the null hypothesis for the F-test for SLR? O The model is not positive 0 The model is not useful OF=0 Save Answer 09 0.5 Points If all other things are held equal, which is wider? 0 Prediction Interval 0 Confidence Interval