Exhibit 172 To examine the differences between salaries of male and female middl

Question

Exhibit 172 To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected and the following variables considered Salary the monthly salary (excluding fringe benefits and bonuses) Educ·the number of years of education, Exper·the number of months of experience. Train the number of weeks of training Gender the gender of an individual: 1 for males, and O for females Also, the following Excel partial outputs corresponding to the following models are available Model A Salary . 0.pEduc-B2Exper . ATrain . .Gender SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.8188 0 6704 0.6549 402.7513 90 ANOVA MS 4 28,045,960.12 7.011,490 03 85 13,787,729.88 162.208.59 89 43 23 Regression Residual Total 41.833,690.00 Coefficients Stat Standard Error 365.37 20.15 0.47 3.72 97.33 12.76 1.856-21 Intercept Educ Exper Train 4,663 31 140.66 3.36 1.17 6.98 6.07E-10 7.17 2 54E-10 0.7543 1. 165-08 0 31 Gender SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.8186 0.6700 0 6585 O Type here to search

Explanation / Answer

here alpha = 0.1

in the given table,

Pvalue (train) =0.7543

therefore pvalue(train) > alpha = 0.1

Accept H0.

Conclusion : Do not reject H0. Train does not seem to be significant.

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