Final review session (regressions)

The statistic that shows the strength and direction of the correlation between two variables

• r

• R square

• Delta R Square

• Beta

The statistic that shows how much variance is explained by a model

• r

• R Square

• Delta R square

• F

In the criterion problem, this is the amount of variance in the criterion that is not explained by the predictors

• Relevance

• Contamination

• Criteria

• Deficiency

This is the test in a regression that we use to determine if a specific predictor in a model was significant

• ANOVA

• t-test

• Collinearity Diagnostics

• Levine's test for equality of variances

This is the test in a regression that we use to determine if a model is significant

• ANOVA

• t-test

• Collinearity Diagnostics

• Levine's test for equality of variances

In a regression, what are the variables being used to predict variance in another variable?

• Criterion (Independent variable)

• Predictor (Independent variable)

• Predictor (dependent variable)

• Criterion (Dependent variable)

In the criterion problem, this is the amount of variance in the criterion that is explained by the predictors

• Deficiency

• Contamination

• Beta

• Relevance

Which r value has the greatest strength?

• -.20

• .73

• -.74

• .21

In the criterion problem, this is the amount of variance in the predictors that does not explain the criterion

• Deficiency

• Contamination

• Beta

• Relevance

If one variable increases as the other variable decreases systematically, what kind of correlation is this?

• Strong

• Negative

• Weak

• Positive