Revision + Exam Preparation

Question 1

What is the main similarity between simple regression, multiple regression, growth curve modelling and logistic regression?

Answer 1

They are all testing for a relationship between an outcome variable and a predictor(s).

Question 2

What is the main similarity between multiple regression, GCM and logistic regression?

Answer 2

They all have multiple predictors.

Question 3

Define R-squared.

Answer 3

It is how well our model fits the data. No cut-off point.

Question 4

How do we interpret growth curve models?

Answer 4

One unit change in TIME is associated with a significant change in Y (B = …, p = …).

Question 5

What is the difference when interpreting CIs across all models?

Answer 5

Logistic regression = look at if 1 is included between LCI and UCI.
All other models = look at if 0 is included between LCI and UCI.

Question 6

Define F-ratio.

Answer 6

Whether the model significantly predicts the outcome.