In_class_Practice4

# In_class_Practice4 - In-class Practice 4(Bring this to...

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1 In-class Practice 4 (Bring this to class) NAME: _______________________________________________________ BUAD 310 USC ID# :__________________________________________________________ Friday Lab time :___________________________________________________ Dr. ANSARI PART 1 - MULTIPLE CHOICE [5 points each] 1. If Durbin-Watson statistic is close to 0, and then we can conclude that, a) There is Heteroscedasticity b) There is autocorrelation between predictors c) Errors are not normally distributed d) There is autocorrelation between errors e) None of the above 2. In simple regression analysis as the scatter (spread) of points about the regression line becomes greater, then a) Coefficient of determination will increase and error standard deviation will increase. b) Coefficient of determination will increase and error standard deviation will decrease. c) Coefficient of determination will decrease and error standard deviation will increase. d) Coefficient of determination will decrease and error standard deviation will decrease e) Coefficient of determination and error standard deviation will not be affected. 3. In regression analysis, the F ts , is given by, a) MSE/MSR b) (SSR/SSE)*(DFR/DFE) c) MSR/SSR d) (SSR/SSE)*(DFE/DFR) e) None of the above 4. A consultant wanted to investigate the relationship between the price of a car (Y) and its age (X). He performed simple regression on a sample of 50 cars. Which of the following would suggest a significant relationship between X and Y ? a) Small p-value for the estimated slope b) Small test statistic for the estimated slope c) Small p-value for the estimated intercept d) Small test statistic for the estimated intercept e) None of the above 5. In a simple regression model in which the data depends on time, a visual check of the assumption that the values of the residuals are uncorrelated may be made by graphing: a) The residuals against the predicted values of y. b) The predicted values of y against index. c) The residuals against the observed values of y. d) The residuals against index. e) The normal plot of residuals.

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2 PART II 1. A real estate broker who specializes in selling farmland in a large western state is interested in developing a pricing formula of some type. He feels he could increase his business greatly if he could accurately determine the value of a farmer’s land. The real estate broker hired a statistician to do
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In_class_Practice4 - In-class Practice 4(Bring this to...

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