A manager at a local bank analyzed the relationship between monthly salary and three independentvariables: 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: 1. Based on the ANOVA and a 0.05 significance level, the global null hypothesis test of the multipleregression modelA. Will be rejected and conclude that monthly salary is related to all of the independent variablesB. Will be rejected and conclude that monthly salary is related to at least one of the independentvariables.C. Will not be rejected.D. Will show a high multiple coefficient of determination.2. Based on the ANOVA, the multiple coefficient of determination is:A. 5.957%B. 59.3%C. 40.7%D. cannot be computed3. Based on the hypothesis tests for the individual regression coefficients,A. All the regression coefficients are not equal to zero.B. "job" is the only significant variable in the model.C. Only months of service and gender are significantly related to monthly salary.D. "service" is the only significant variable in the model4. In the regression model, which of the following are dummy variables?A. InterceptB. ServiceC. Service and genderD. Gender and jobE. Service, gender, and job5. The results for the variable gender show thatA. males average $222.78 more than females in monthly salaryB. females average $222.78 more than males in monthly salaryC. gender is not related to monthly salaryD. Gender and months of service are correlated6. Based on the hypothesis tests for individual regression coefficients,A. All regression coefficients should remain in the regression equationB. Based on the standard errors, the variable, service, should not be included in the regression equation.C. Based on the p-values, the variable, job, should not be included in the regression equation.D. The relationship between monthly salary and gender is linear.