Question: Question 7 1 Point If the sample standard deviation is equal 5 for an SRS of size 25, the standard error of the mean would

 Question 7 1 Point If the sample standard deviation is equal5 for an SRS of size 25, the standard error of themean would be equal to B 5 25 no answer is correctD 25 5Question 8 1 Point Look at the output below. Assuming
the assumptions of the model are upheld, which statement is most correct>zfit=Im(y~x,data=z) . .. > summary(zfit) Call: Im(formula = y ~ x, data= z) Residuals: Min 10 Median 3Q Max -14.5494 -7.0498 0.8778 7.573811.0278 Coefficients: Estimate Std. Error. t value Pr(>It[) (Intercept) 43.486 5.101 8.524

Question 7 1 Point If the sample standard deviation is equal 5 for an SRS of size 25, the standard error of the mean would be equal to B 5 25 no answer is correct D 25 5Question 8 1 Point Look at the output below. Assuming the assumptions of the model are upheld, which statement is most correct >zfit=Im(y~x,data=z) . .. > summary(zfit) Call: Im(formula = y ~ x, data = z) Residuals: Min 10 Median 3Q Max -14.5494 -7.0498 0.8778 7.5738 11.0278 Coefficients: Estimate Std. Error. t value Pr(>It[) (Intercept) 43.486 5.101 8.524 2.88e-09 *** X 6.059 1.662 3.646 0.00108 ** Signif. codes: 0 '***' 0.001 " * * ' 0.01 0.05 0.1 " 1 Residual standard error: 8.187 on 28 degrees of freedom Multiple R-squared: 0.3219, Adjusted R-squared: 0.2977 F-statistic: 13.29 on 1 and 28 DF, p-value: 0.001077 A There is evidence to suggest that the population slope is not flat B There is evidence to suggest that the population slope is equal to zero C There is evidence to suggest that the population slope is equal to 6.059 D No answer displayed is correctQuestion 9 1 Point Look at the output below. How would you describe the relationship between x and y? >zfit=Im(y~x,data=z) . .. > summary(zfit) Call: Im(formula = y ~ x, data = z) Residuals: Min 1Q Median 3Q Max -14.5494 -7.0498 0.8778 7.5738 11.0278 Coefficients: Estimate Std. Error. t value Pr(>|t) (Intercept) 43.486 5.101 8.524 2.88e-09 *** X 6.059 1.662 3.646 0.00108 ** Signif. codes: 0 '***' 0.001 '** 0.01 1 * 0.05 " 0.1 " 1 Residual standard error: 8.187 on 28 degrees of freedom Multiple R-squared: 0.3219, Adjusted R-squared: 0.2977 F-statistic: 13.29 on 1 and 28 DF, p-value: 0.001077 A As x increases, y decreases B As y increases, x decreases C There is no relationship D For every one unit increase in x there is 43.486 units increase in yquesuon 'IU l ll-'UIIIL l Generally speaking, when we use more flexible modelling methods, the variance will increase and the bias will decrease. Question 11 Backward selection regression methods start with all variables in the model and remove the variable with smallest p-value until a stopping rule is reached. Question 12 Assuming all assumptions are met, based on the analysis of the relative operating curve; which result is superior

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