If the SPSS output shows that the R square change for model 2 is 0.11, then how should this be interpreted?
A) The confound variable model does not significantly predict the outcome variable.
B) The predictor variables explain 11% of the variance in the outcome variable.
C) The confound variables explain 11% of the variance in the outcome variable.
D) The predictor variable model does not significantly explain the outcome variable.

Question

Quizplus · Accepted Answer

The R square change indicates the proportion of the variance in the dependent variable that is predictable from the independent variable(s). An R square change of 0.11 means that the model explains an additional 11% of the variance in the outcome variable, not specifically attributed to confound variables.

If the SPSS Output Shows That the R Square Change