Regression 2

Question 1

Explain what a residual is

Answer 1

This is the difference between the actual scores and the scores that were predicted

Question 2

List the assumptions of multiple regression

Answer 2

1- data should be interval or ratio

2- sample size should be sufficient

3- linearity

4- normal distribution

5- homoscedasticity

6- multicollinearity

7- outliers

Question 3

Explain the assumption of homoscedasticity

Answer 3

Homo= same variances- There should be a random distribution within the scatter plot

Question 4

The line of best fit

Answer 4

Gives us the smallest value if we sum all the squared residuals

Question 5

How to check for ‘outliers by distance’

Answer 5

Look at the individual cases/participants to see if there are any strange effects