16. In a multiple regression model, the adjusted r 2 A)cannot be negative. B)has
ID: 2955432 • Letter: 1
Question
16. In a multiple regression model, the adjustedr2
A)cannot be negative.
B)has to fall between 0 and +1.
C)can sometimes be greater than +1.
D)can sometimes be negative.
17. TABLE 14-5
A microeconomist wants to determine how corporate sales areinfluenced by capital and wage spending by companies. She proceedsto randomly select 26 large corporations and record information inmillions of dollars. The Microsoft Excel output below shows resultsof this multiple regression.
SUMMARY OUTPUT
ANOVA
Referring to Table 14-5, what fraction of the variability in salesis explained by spending on capital and wages?
A)68.9%
B)50.9%
C)83.0%
D)27.0%
18.TABLE 14-1
A manager of a product sales group believes the number of salesmade by an employee (Y) depends on how many years thatemployee has been with the company (X1) and how he/shescored on a business aptitude test (X2). A random sampleof 8 employees provides the following:
Referring to Table 14-1, if an employee who had been with thecompany 5 years scored a 9 on the aptitude test, what would hisestimated expected sales be?
A)60.88
B)79.09
C)17.98
D)55.62
19. To explain personal consumption (CONS) measured in dollars,data is collected for
A regression analysis was performed with CONS as the dependentvariable and ln(CRDTLIM), ln(APR), ln(ADVT), and SEX as theindependent variables. The estimated model was
= 2.28 - 0.29 ln(CRDTLIM) + 5.77 ln(APR) + 2.35 ln(ADVT) + 0.39SEX
What is the correct interpretation for the estimated coefficientfor SEX?
A)Holding everything else fixed, personal consumption for females isestimated to be 0.39% higher than males on the average.
B)Holding everything else fixed, personal consumption for males isestimated to be 0.39% higher than females on the average.
C)Holding everything else fixed, personal consumption for females isestimated to be $0.39 higher than males on the average.
D)Holding everything else fixed, personal consumption for males isestimated to be $0.39 higher than females on the average.
20. The logarithm transformation can be used
A)to overcome violations of the homoscedasticity assumption.
B)to test for possible violations of the homoscedasticityassumption.
C)to overcome violations of the autocorrelation assumption.
D)to test for possible violations of the autocorrelationassumption.
21. Which of the following is NOT used to determine observationsthat have an influential effect on the fitted model?
A)the hat matrix elements hi
B)the Cp statistic
C)the Studentized deleted residuals ti
D)Cook's distance statistic
Explanation / Answer
16.B) has to fall between 0 and +1. 17.A) 68.9% 18.B) 79.09 19.A) Holding everything else fixed, personal consumption forfemales is estimated to be 0.39% higher than males on theaverage. 20.A) to overcome violations of the homoscedasticityassumption. 21.B) the Cp statistic
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