Question

Under what circumstances do the individual contributions of two predictors sum together completely to predict a criterion variable. A. Never B. When the two predictors are completely correlated C. When the two predictors are completely uncorrelated D. When one predictor is moderated by the other

When considering mediation and moderation: A. Mediation is about the path of the effect and moderation is about the magnitude of the effect B. Moderation is about the path of the effect and mediation is about the magnitude of the effect C. Both mediation and moderation could exist in any particular model. D. Both A and B E. Both A and C

Which statement is true A. Precision is about variability and accuracy is about mean B. Precision is about mean and accuracy is about variability C. Precision and accuracy are synonyms in statistics D. None of the above are true

Answer 1

When two independent variables are not correlated, the contribution to the explained variation of the dependent variable will be different from both variables.

The individual contributions of two predictors sum together completely to predict a criterion variable is

C. When the two predictors are completely uncorrelated

A moderator variable is one that influences the strength of a relationship between two other variables, and a mediator variable is one that explains the relationship between the two other variables.  Both mediation and moderation could exist in any particular model

E. Both A and C

Accuracy is a measure of statistical bias about mean while precision is the measure of statistical variability.

A. Precision is about variability and accuracy is about mean