Standard Multiple Regression (1)

Question 1

Correlation

Answer 1

Relationship/association between variables

Question 2

Bivariate Correlation

Answer 2

Correlation between 2 variables (closer r=1 stronger correlation)

Question 3

Partial Correlation

Answer 3

Another variable involved that can be controlled

Question 4

Regression

Question 5

Predictor Variable

Answer 5

Independent Variable (X)

Question 6

Criterion Variable

Answer 6

Dependent Variable (Y)

Question 7

Uses

Answer 7

• regression equation can be used to make predictions
• builds a predictive model

Question 8

Data Requirements

Question 9

H0 and H1

Answer 9

H0: Null hypothesis, no linear relationship between criterion and predictor
H1: Alternative hypothesis, linear relationship between criterion and at least one other variable

Question 10

Assumptions for multiple regression

Answer 10

Samples sizes, multi-collinearity, normality, homoscedascity, linearity

Question 11

Samples size

Answer 11

N>50+8M

Question 12

Multi-collinearity

Question 13

Normality

Question 14

Homoscedascity

Question 15

Linearity

Question 16

Types of multiple regression