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. ANOVA Source of Variation Regression Residual Total df 3 26 29 F 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 Gender Job Coefficients 784.92 9.19 222.78 -28.21 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 Based on the ANOVA and a 0.05 significance level, the global null hypothesis test of the multiple regression model Multiple Choice will not be rejected will be rejected and conclude that monthly salary is related to all of the independent variables will be rejected and conclude that monthly salary is related to at least one of the independent variables O will show a high multiple coefficient of determination