A manager at a local bank analyzed the relationship between monthly salary and three independent variables length of service (measured in months), gender (0 female, 1 male), and job type (0 clerical, 1 technical) The following ANOVA summarizes the regression results ANOVA Source of Variation df Sum of Square Mean of Square F Regression 3 1004346 771 334782 257 5 96 Residual 26 1461134 596 56197 48445 Total 29 2465481 367 Coefficients Standard Error t Stat p vale Intercept 784 92 322 25 2 44 0 02 Service 9 19 3 20 2 87 0 01 Gender 222 78 89 2 50 0 02 Job 28 21 89 61 0 31 0 76 The results for the variable gender show that a males average $222 78 more than females in monthly salary b females average $222 78 more than males in monthly salary c gender is not related to monthly salary d gender and months of service are correlated

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Question: A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 =

A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male), and job type (0 = clerical, 1 = technical). The following ANOVA summarizes the regression results:

ANOVA
Source of Variation	df	Sum of Square	Mean of Square	F
Regression	3	1004346.771	334782.257	5.96
Residual	26	1461134.596	56197.48445
Total	29	2465481.367

	Coefficients	Standard Error	t Stat	p-vale
Intercept	784.92	322.25	2.44	0.02
Service	9.19	3.20	2.87	0.01
Gender	222.78	89	2.50	0.02
Job	-28.21	89.61	-0.31	0.76

The results for the variable gender show that ______

a. males average $222.78 more than females in monthly salary

b. females average $222.78 more than males in monthly salary

c. gender is not related to monthly salary

d. gender and months of service are correlated

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