Question

The following correlations were computed as part of a multiple regression analysis that used education, job, and age to predict income. Income Education Job Age Income 1.000 0.677 1.000 Education Job Age -0.181 0.173 0.369 1.000 0.689 0.073 1.000 What is this table called? Select one: O a. Net regression coefficients O b. Coefficients of nondetermination Oc. Analysis of variance Correlation matrix 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 5.96 Source of Variation Regression Residual Total Sum of Squares Mean Square 1004346.771 334782 257 1461134.596 56197.48445 2465481.367 29 Coefficients t 784.92 Intercept Service Gender Uob 9.19 Standard Error 322.25 3.20 89.00 89.61 Stat 2.44 2.87 2.50 -0.31 p-value 0.02 0.01 0.02 222.78 28.21 0.76 Based on the ANOVA and a 0.05 significance level, the global null hypothesis test of the multiple regression model