SPSS Book: Multiple Regression

Question 1

3 Things Model Summary Table Includes

Answer 1

1) R
2) R^2
3) Adjusted R^2

Question 2

What is r

Answer 2

Multiple correlation between criterion variable and set of predictor variables in the regression model

Question 3

What is r^2

Answer 3

Proportion of variance in the criterion that can be accounted for by the predictor variables in combination

Question 4

What is adjusted r^2

Answer 4

Provides more accurate estimate of the true extent of the relationship between the predictor variables and criterion when compared to r^2

Question 5

What does ANOVA tell us

Answer 5

Whether or not our model has full predictive utility

Question 6

Correlations section of coefficients table provides three statistics for each predictor

Answer 6

1) zero-order
2) partial
3) part

Question 7

Zero-Order

Answer 7

Bivariate Pearson’s correlation between predictor and criterion

Question 8

Partial

Answer 8

Partial correlation between predictor and criterion

Question 9

Part

Answer 9

semi-partial correlation (SR) between predictor and criterion

Question 10

sr^2 (part^2)

Answer 10

Proportion of variance in criterion that is uniquely explained by predictor

Question 11

Unstandardised coefficients (B)

Answer 11

Indicates predicted change in criterion associated with a 1-unit change in the relevant predictor after controlling for the effects of all remaining predictors in model

Question 12

Standardised Coefficient of Beta

Answer 12

Indicate predicted change in standard deviations in the criterion associated with a 1 SD change in relevant predictors after contributing for effects of remaining predictors in model