Individual predictors cannot be individually associated with the criterion variable if R is not different from 0 (i.e., if the entire model is not significant).

Question

Quizplus · Accepted Answer

Even if the overall model is not significant (R is not different from 0), individual predictors can still have significant associations with the criterion variable. This can occur because the overall model's significance tests the combined effect of all predictors, while individual predictors can have significant effects that are not captured by the overall model test.

Individual Predictors Cannot Be Individually Associated with the Criterion Variable