Time left 0:19:46 Quiz navigation Question 1 3 If all residuals are added together the sum would be: Not yet 10 11 answered Select one: Marked out of O a. always zero 1.00 O b. either +1.0 or -1.0 Finish attemp P Flag O c. always 1.0 question O d. always -1.0 Question 2 In a regression, the t-statistic measures: Not yet answered Select one: Marked out of O a. Economic Plausibility 1.00 O b. The amount of variance the regression model can explain Flag O c. The predictive power of a X variable uestion O d. The linearity of a straight-line regression ASUSNot yet answered Select one: Marked out of O a. Economic Plausibility 1.00 O b. The amount of variance the regression model can explain F Flag O c. The predictive power of a X variable question O d. The linearity of a straight-line regression Question 3 How would we know if a regression model was getting "better"? Not yet answered Marked out of Select one: 1.00 O a. the p values would be getting larger Flag question O b. R and R2 would both be getting larger O c. R and R2 would both be getting smaller O d. the t values would be getting closer to zero Next page ASUSTime left 0:19:37 Quiz navig 2 Question 4 In a regression model actual data always falls on the regression line. Not yet answered Select one: Marked out of O a. false 100 O b. true Finish Flag question Question 5 Assume the high X value of a data set was 1,000 and the low X value was 500. You are asked to Not yet predict the Y solution where X = 250. What would you know? answered Marked out of Select one: 1.00 O a. The Y solution would have a probability of &It; 5% Flag O b. The Y solution could not be calculated without knowing the slope (m value) lestion O c. The Y solution would be a negative number O d. The Y solution would be outside the relevant range AGUSACCT3360 - Intermediate Managerial Accounting II (2022/2023 Fall Ter Time left 0:19:26 Quiz navigation 2 3 Question 10 A p value measures: Not yet 10 11 answered Select one: Marked out of O a. the "goodness of fit" between the actual and predicted observations 1.00 Finish attem O b. the amount of variance the regression model cannot explain P Flag question O c. the probability that our model is valid and useful O d. the probability that the coefficient is not valid Question 11 The R statistic can take which values? Not yet answered Select one: larked out of O a. -1 95% to be used for business purposes Flag O c. R 95% to be used for business purposes Flag O c. R