Week 5 (Hierarchical Multiple Regression)

Question 1

What is multiple regression

Answer 1

-Extension of simple regression
-Adds predictor variables
-Tests the relationship between an individual predictor and an outcome, in the context of other predictors

Question 2

Types of multiple regression

Answer 2

Forced Entry
-Enter method in SPSS
-All variables entered at the same time

Hierarchical Multiple Regression
-Variables are entered in different steps

Stepwise Multiple Regression
-Forced method
-Backward method
-We don’t cover this one

Question 3

Hierarchical Multiple regression

Answer 3

-Known and new predictors are entered into the model
-New predictors are entered in a hierarchical manner (adding extra steps to the model)

Question 4

Why use hierarchical multiple regression

Answer 4

-Enables us to examine the contribution of additional values to the model when added in a separate step

Question 5

Multiple regression assumptions

Answer 5

1. Sample Size
2. Variable Types
3. Non-Zero Variance
4. Independence
5. Linearity