2 - Extending the Model

Question 1

The mean is an example of what and why? (Extending GLM Statistics)

Answer 1

• Statistical model

- It has one parameter (itself) and no predictor variables

Question 2

The sample mean is an estimate of what? (Extending GLM Statistics)

Answer 2

The true mean

Question 3

The value of the mean is an example of what? (Extending GLM Statistics)

Answer 3

Least squares estimation

Question 4

Estimation is based on what? (Extending GLM Statistics)

Answer 4

Minimising the squared error

Question 5

Multiple regression can be added to the model as what? (Extending GLM Statistics)

Answer 5

A predictor

Question 6

What three rules need to be accounted for when entering predictors into the model? (Extending GLM Statistics)

Answer 6

• Hierarchal
• Forced Entry
• Stepwise

Question 7

What is the hierarchal rule? (Extending GLM Statistics)

Answer 7

An order must be created in which variables are entered into the model

Question 8

What is the forced entry rule? (Extending GLM Statistics)

Answer 8

All predictors should be entered simultaneously

Question 9

What is the stepwise rule? (Extending GLM Statistics)

Answer 9

Predictors should be selected using their semi-partial correlation with the outcome