Multiple Regression

Question 1

Which SPSS tables are used for simple regression?

Answer 1

ANOVA
Model summary
Coefficients

Question 2

When do we use multiple regression?

Answer 2

When predicting more than 1 measure is related to the outcome variable

Question 3

What is the equation for multiple regression?

Answer 3

Y = a + b1*x1 + b2+x2

Question 4

What are the two types of multiple regression?

Answer 4

Standard multiple regression and hierarchical regression

Question 5

How are standard multiple regression entered?

Answer 5

Simultaneously

Question 6

How is hierarchical multiple regression entered?

Answer 6

In steps

Question 7

What tables is needing for standard multiple regression?

Answer 7

ANOVA
Coefficient
Model summary

Question 8

What is multiple R?

Answer 8

Multiple correlation coefficient (R in model summary table).

Question 9

In multiple regression what is B (unstandardized coefficient)?

Answer 9

Constant is intercept (A)

The number or numbers below are the slopes (b) for the two or more variables.

Question 10

What is SE?

Answer 10

Std. Error in the coefficient table but it’s the standard deviation of the distribution of the sample b-values for each predictor.

Question 11

What is beta?

Answer 11

Standardized regression coefficient.

It tells the number of SD that the outcome will change as a result of one SD change in the predictor.

Question 12

Why are beta and r different in multiple regression?

Answer 12

Because in multiple regression beta concerns the unique contribution of the predictor, excluding any overlap with other predictors, and so it cannot be the same value as r.

Question 13

What do you report in a multiple regression table?

Answer 13

N (above table)

B
SE
Beta

And 
Constant
Predictor 1
Predictor 2
R^2

Question 14

In hierarchical regression what numbers do you need from model summary?

Answer 14

R squared, adjusted R squared and R squares change.