Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations. Coefficients Standard Error Constant 12.924 4.425 x1 -7.682 2.630 x2 45.216 12.560 Analysis of Variance Source of Variation Degrees of Freedom Sum of Squares Mean Square F Regression 2 4853 2426.5 Error 485.3 Carry out the test to determine if there is a relationship among the variables at the 1% level. The null hypothesis should be rejected. a. be rejected. b. not be rejected. c. be revised to test for multicollinearity. d. test for individual significance instead.
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The null hypothesis (H0) is that there is no relationship among the variables, meaning all the regression coefficients are equal to zero. The alternative hypothesis (H1) is that there is a relationship among the variables, meaning at least one of the regression Show more…
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