A Manager At A Local Bank Analyzed The Relationship Between Monthly Salary And Three Independent Variables Length Of Se 1 (78.61 KiB) Viewed 24 times
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 df F Source of Variation Regression Residual 3 3 Sum of Squares 1,004,346.771 1,461,134.596 2,465, 481.367 Mean Square 334, 782.257 56,197.48445 5.96 26 Total 29 Standard Error t-Stat 322.25 2.44 Intercept Service Coefficients 784.92 9.19 222.78 -28.21 p-value 0.02 0.01 0.02 2.87 Gender 3.20 89.00 89.61 2.50 Job -0.31 0.76 The level of significance is 0.05. Based on the hypothesis tests for the individual regression coefficients,
Multiple Choice O only months of service and gender are significantly related to monthly salary "Job" is the only significant variable in the model all the regression coefficients are not equal to zero О "Service" is the only significant variable in the model O "Service" is the only significant variable in the model
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