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| Question 139746This question is from textbook
 :  An expert witness in a case of alleged racial discrimination in a state university school of nursing introduced a regression of the determinants of Salary of each professor for each year during an 8-year period (n = 423) with the following results, with dependent variable Year (year in which the salary was observed) and predictors YearHire (year when the individual was hired), Race (1 if individual is black, 0 otherwise), and Rank (1 if individual is an assistant professor, 0 otherwise). Interpret these results.
 Variable                     Coefficient      t                        p
 Intercept                     −3,816,521    −29.4                   .000
 Year                           1,948         29.8                   .000
 YearHire                      −826          −5.5                    .000
 Race                          −2,093        −4.3                    .000
 Rank                          −6,438        −22.3                   .000
 R2 = 0.811                R2adj = 0.809                           s = 3,318
 This question is from textbook
 
 Answer by stanbon(75887)
      (Show Source): 
You can put this solution on YOUR website! An expert witness in a case of alleged racial discrimination in a state university school of nursing introduced a regression of the determinants of Salary of each professor for each year during an 8-year period (n = 423) with the following results, with dependent variable Year (year in which the salary was observed) and predictors YearHire (year when the individual was hired), Race (1 if individual is black, 0 otherwise), and Rank (1 if individual is an assistant professor, 0 otherwise). Interpret these results. ---------
 Variable Coefficient t p
 Intercept −3,816,521 −29.4 .000
 Year 1,948 29.8 .000
 YearHire −826 −5.5 .000
 Race −2,093 −4.3 .000
 Rank −6,438 −22.3 .000
 R2 = 0.811 R2adj = 0.809 s = 3,318
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 Reg. Eq: Salary = -3816.541 + 1948(year variable) -826(year hire)
 =2.093(race variable)-6.438(Rank variable)
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 The .0000 p-values means to reject the hypotheses that the coefficient is zero.
 R2 = 0.811 means that 81.1 % of the variation between salary and
 the independent variables is explained by the regression equation.
 s = 3318 means the variance on the predicted salary is $3,318
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 Cheers,
 Stan H.
 PS: This problem has been posted a number of times.  What is the
 source? what is the text used to cover this material?
 
 
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