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 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 29 Coefficients 784.92 9.19 Intercept Service Gender Job Standard Error 322.25 3.20 89.00 89.61 t-Stat 2.44 2.87 2.50 p-value 0.02 0.01 0.02 0.76 222.78 -28.21 -0.31 The level of significance is 0.05. Based on the hypothesis tests for the individual regression coefficients, Multiple Choice all the regression coefficients are not equal to zera O Job" is the only nonsignificant variable in the model 0 the intercept is the only significant variable in the model "Service" is the only significant variable in the model