Q21. With respect to testing the validity of the model’s results, Williams may wish to perform: A) a Durbin-Watson test, but not a Breusch-Pagan test. B) both a Durbin-Watson test and a Breusch-Pagan test. C) a Breusch-Pagan test, but not a Durbin-Watson test.
Q22. Williams decides to use two-tailed tests on the individual variables, at a 5% level of significance, to determine whether electric generator sales are explained by each of them individually. Williams concludes that: A) all of the variables explain sales. B) all of the variables except snowfall explain sales. C) all of the variables except snowfall and housing starts explain sales.
Q23. When Williams ran the model, the computer said the R2 is 0.233. She examines the other output and concludes that this is the: A) adjusted R2 value. B) neither the unadjusted nor adjusted R2 value, nor the coefficient of correlation. C) unadjusted R2 value.
Q24. In preparing and using this model, Williams has least likely relied on which of the following assumptions? A) A linear relationship exists between the dependent and independent variables. B) There is a linear relationship between the independent variables. C) The disturbance or error term is normally distributed.
Q25. Consider the following estimated regression equation, with the standard errors of the slope coefficients as noted:
Salesi = 10.0 + 1.25 R&Di + 1.0 ADVi – 2.0 COMPi + 8.0 CAPi where the standard error for the estimated coefficient on R&D is 0.45, the standard error for the estimated coefficient on ADV is 2.2 , the standard error for the estimated coefficient on COMP is 0.63, and the standard error for the estimated coefficient on CAP is 2.5. The equation was estimated over 40 companies. Using a 5% level of significance, which of the estimated coefficients are significantly different from zero? A) R&D, COMP, and CAP only. B) R&D, ADV, COMP, and CAP. C) ADV and CAP only.
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发表于 2009-1-8 13:09
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