Answer Happy

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. df F ANOVA Source of Variation Regression Residual Total 3 26 29 5.96 Sum of Squares 1,004,346.771 1,461,134.596 2,465,481.367 Mean Square 334, 782.257 56,197.48445 Intercept Service Coefficients 784.92 9.19 222.78 Standard Error 322.25 3.20 89.00 89.61 t-Stat 2.44 2.87 2.50 -0.31 p-value 0.02 0.01 0.02 0.76 Gender Job -28.21 The level of significance is 0.05. The results for the variable gender show that Multiple Choice gender and length of service are correlated O gender is not related to monthly salary males average $222.78 more than females in monthly salary d females average $222.78 more than males in monthly salary