Question on image

Question 1 If all residuals are added together the sum would be: Not yet answered Select one: Marked out of O a. always zero 1.00 O b. either +1.0 or -1.0 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 regressionIn a regression model actual data always falls on the regression line. Select one: O a. false O b. true Assume the high X value of a data set was 1,000 and the low X value was 500. You are asked to predict the Y solution where X = 250. What would you know? Select one: O a. The Y solution would have a probability of &It; 5% O b. The Y solution could not be calculated without knowing the slope (m value) O c. The Y solution would be a negative number O d. The Y solution would be outside the relevant rangeR-square is known as the: Select one: O a. coefficient of variation O b. coefficient of correlation O c. coefficient of determination O d. independent (X) variable coefficient The R-square statistic measures: Select one: O a. the probability that our model is valid and useful O b. the amount of variance the regression model can explain O c. the expected confidence interval achieved O d. the probability that the coefficient is not validIn management accounting the slope of a regression equation is used to estimate: Select one: O a. the variable cost per period of time O b. the fixed cost per period of time O c. the variable cost per unit O d. the fixed cost per unitIn regression we need to square the residuals to: Select one: O a. calculate R-square O b. ensure a 95% confidence level according to the Central Limit Theorem O c. remove negative values O d. ensure the coefficient of correlation is always positive If a coefficient is 4.75 with a p value of .045 and a standard error of .437, the t-value is approximately: Select one: O a. 2.076 O b. 17.21 O c. .214 O d. 10.86A p value measures: Select one: O a. the "goodness of fit" between the actual and predicted observations O b. the amount of variance the regression model cannot explain O c. the probability that our model is valid and useful O d. the probability that the coefficient is not valid The R statistic can take which values? Select one: O a. -1 95% to be used for business purposes O c. R