Question: ABOUT R! Q7 evaluate prediction 2 Points If it is determined that the gaussian (Normal) distribution condition is NOT satisfied for your model, is your

 ABOUT R! Q7 evaluate prediction 2 Points If it is determined

ABOUT R!

that the gaussian (Normal) distribution condition is NOT satisfied for your model,

Q7 evaluate prediction 2 Points If it is determined that the gaussian (Normal) distribution condition is NOT satisfied for your model, is your prediction interval still valid? Yes O No O If the sample size is large enough. Save Answer Q8 conf interval 2 Points Suppose you compute a 95% confidence interval for one of the parameter estimates in your model. If it is determined that the gaussian (Normal) distribution condition is NOT satisfied for your model, is your confidence interval still valid? O Yes O No O If the sample size is large enough Save Answer Q9 anova table 2 Points Suppose we fit a linear regression model with p predictors, X1, . . ., Xp, for example, mymodel=Im(y"x1+x2+...xp). When we examine the anova table, anova(mymodel), is it true that the first variable will always be statistically significant according to the sequential F-test? In other words, if we typed mymodel=Im(y"x2+x1+...xp) then x2 will be significant, but if we typed mymodel=Im(y"x1+x2+....xp) x1 will be significant? O True; the first variable entered is always significant according to the sequential F-test. O False; the first variable entered is not always significant according to the sequential F-test

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