Standard and Hierarchical Multiple Regression Analysis

Question 1

Multiple regression

Answer 1

( all PV’S entered simultaneously) test that determines how well a set of predictor variables (2 or more) explains variation in one criterion variable (p-cat or cont)(criterion- cont)

Question 2

what assumptions need to be checked?

Answer 2

1. multicollinearity (PV’s shouldn’t be correlated with each other)
2. outliers, normality, linearity of residuals

Question 3

Unstandardised beta value

Answer 3

allow you to interpret the effect of each PV on the CV based on the unit of measurement of the PV
(beta value- amount of change in the CV for a 1-unit change in the PV)

Question 4

Hierarchical multiple regression

Answer 4

PV’s ar eentered in the equation in a specific order