3 - Model Fit

Question 1

What is the equation for sum of squares error? (Model Fit Statistics)

Answer 1

SSE = (∑deviations)² + (∑deviations)²

Question 2

What can affect the SSE? (Model Fit Statistics)

Answer 2

The total number

Question 3

What is SST? (Model Fit Statistics)

Answer 3

• Total sum of squares

- The total variability between scores and the mean

Question 4

What is SSR? (Model Fit Statistics)

Answer 4

• Residual sum of squares

- The total error variability between the model and the observed data

Question 5

What is SSM? (Model Fit Statistics)

Answer 5

• Model sum of squares

- Difference in variability between the model and the mean

Question 6

What is the F statistic? (Model Fit Statistics)

Answer 6

The ratio of the SSM to the SSR

Question 7

What is the F statistic equation? (Model Fit Statistics)

Answer 7

F = SSM ÷ SSR

Question 8

What is R²? (Model Fit Statistics)

Answer 8

The proportion of variance the model can explain for a sample population

Question 9

What is adjusted R²? (Model Fit Statistics)

Answer 9

An estimate of R² for the total population, instead of a sample population

Question 10

If the numbers from adjusted R² are very different, what does this show? (Model Fit Statistics)

Answer 10

The model is not representative

Question 11

What test is used to measure homogeneity of variance?(Model Fit Statistics)

Answer 11

Levene’s test