Standard Multiple Regression (1) Flashcards
1
Q
Correlation
A
Relationship/association between variables
2
Q
Bivariate Correlation
A
Correlation between 2 variables (closer r=1 stronger correlation)
3
Q
Partial Correlation
A
Another variable involved that can be controlled
4
Q
Regression
A
5
Q
Predictor Variable
A
Independent Variable (X)
6
Q
Criterion Variable
A
Dependent Variable (Y)
7
Q
Uses
A
- regression equation can be used to make predictions
- builds a predictive model
8
Q
Data Requirements
A
9
Q
H0 and H1
A
H0: Null hypothesis, no linear relationship between criterion and predictor
H1: Alternative hypothesis, linear relationship between criterion and at least one other variable
10
Q
Assumptions for multiple regression
A
Samples sizes, multi-collinearity, normality, homoscedascity, linearity
11
Q
Samples size
A
N>50+8M
12
Q
Multi-collinearity
A
13
Q
Normality
A
14
Q
Homoscedascity
A
15
Q
Linearity
A
16
Q
Types of multiple regression
A
17
Q
A
