QUESTION 1The adjusted coefficient of determination is adjusted for the:a.coefficient of correlation and the significance level.b.number of dependent variables and the sample size.c.number of regression parameters including the y-intercept.d.number of independent variables and the sample size. QUESTION 2In a multiple regression analysis, if the model provides a poor fit, this indicates that:a.the coefficient of determination will be close to zero.b.the standard error of estimate will be large.c.the sum of squares for error will be large.d.All of these choices are true. QUESTION 3Suppose a multiple regression analysis involving 25 data points has mc009-1.jpg and SSE = 36. Then, the number of the independent variables must be:a.5b.4c.6d.3 QUESTION 4In a multiple regression model, the standard deviation of the error variable e is assumed to be:a.0.b.1.0.c.constant.d.None of these choices. QUESTION 5In multiple regression analysis, the ratio MSR/MSE yields the:a.adjusted coefficient of determination.b.t-test statistic for testing each individual regression coefficient.c.F-test statistic for testing the validity of the regression equation.d.coefficient of determination. QUESTION 6In a multiple regression analysis involving 6 independent variables, the total variation in y is 900 and SSR = 600. What is the value of SSE?a.300b.1.50c.0.67d.None of these choices. QUESTION 7In order to test the validity of a multiple regression model involving 5 independent variables and 30 observations, the numerator and denominator degrees of freedom for the critical value of F are, respectively,a.6 and 29b.6 and 25c.5 and 24d.5 and 30 QUESTION 8A multiple regression model involves 10 independent variables and 30 observations. If we want to test at the 5% significance level whether one of the coefficients is = 0 (vs. ¹ 0) the critical value will be:a.2.093b.2.228c.1.697d.1.729 QUESTION 9A multiple regression model has the form mc018-1.jpg. As x3 increases by one unit, with x1 and x2 held constant, the y on average is expected to:a.increase by 1 unit.b.increase by 12 units.c.decrease by 16 units.d.decrease by 4 units. QUESTION 10A multiple regression analysis involving three independent variables and 25 data points results in a value of 0.769 for the unadjusted coefficient of determination. Then, the adjusted coefficient of determination is:a.0.736b.0.591c.0.877d.0.385 QUESTION 11For a multiple regression model, the following statistics are given: Total variation in y = 500, SSE = 80, and n = 25. Then, the coefficient of determination is:a.0.3125b.0.84c.0.16d.0.05 QUESTION 12For a multiple regression model the following statistics are given: Total variation in y = 250, SSE = 50, k = 4, and n = 20. Then, the coefficient of determination adjusted for the degrees of freedom is:a.0.747b.0.800c.0.840d.0.775 QUESTION 13If all the points for a multiple regression model with two independent variables were right on the regression plane, then the coefficient of determination would equal:a.0.b.1.c.2, since there are two independent variables.d.None of these choices. QUESTION 14In a multiple regression model, the following statistics are given: SSE = 100, R2 = 0.995, k = 5, and n = 15. Then, the coefficient of determination adjusted for degrees of freedom is:a.0.955b.0.900c.0.930d.0.855 QUESTION 15In a multiple regression model, the error variable e is assumed to have a mean of:a.-1.0b.0.0c.1.0d.None of these choices. QUESTION 16In a multiple regression model, the probability distribution of the error variable e is assumed to be:a.non-normal.b.positively skewed.c.normal.d.negatively skewed. QUESTION 17In a multiple regression analysis involving 40 observations and 5 independent variables, the following statistics are given: Total variation in y = 350 and SSE = 50. Then, the coefficient of determination is:a.0.8571b.0.8529c.0.8408d.0.8469 QUESTION 18In testing the validity of a multiple regression model in which there are four independent variables, the null hypothesis is:a.mc033-3.jpg.b.mc033-1.jpg.c.mc033-4.jpg.d.mc033-2.jpg. QUESTION 19A multiple regression equation includes 5 independent variables, and the coefficient of determination is 0.81. The percentage of the variation in y that is explained by the regression equation is:a.90%b.86%c.about 16%d.81% QUESTION 20For the multiple regression model: mc035-1.jpg, if x2 were to increase by 5, holding x1 and x3 constant, the value of y will:a.decrease on average by 5.b.increase by 75.c.increase by 5.d.decrease on average by 75.