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