Tests of joint significance are used to determine whether
A)the multiple linear regression achieves individual significance of each independent variable.
B)we can reject that specific coefficients are different from 0.
C)the estimated coefficients differ for two different subsets of the data.
D)we can reject that a subset of estimated coefficients are jointly equal to 0.

Question

Quizplus · Accepted Answer

Tests of joint significance are used to determine whether a subset of estimated coefficients are jointly equal to 0. This means that we are testing whether a group of independent variables are collectively contributing to the dependent variable. If the test shows that the subset of coefficients are not jointly equal to 0, then we can conclude that the group of independent variables are significant predictors of the dependent variable.

Tests of Joint Significance Are Used to Determine Whether