6 - Categorical Predictors Flashcards
1
Q
What does the total sum of squares show us? (Predictors Statistics)
A
How much variability the is to begin with
2
Q
What does the model sum of squares show us? (Predictors Statistics)
A
How much variability can be explained by the linear model
3
Q
What does the residual sum of squares show us? (Predictors Statistics)
A
How much error we cannot predict
4
Q
What is the equation for total sum of squares? (Predictors Statistics)
A
SST = mean SSM ÷ mean SSR
5
Q
In experimental research, what is the linear model defined by? (Predictors Statistics)
A
Manipulation
6
Q
What does the slope of the line between categorical predictors tell us? (Predictors Statistics)
A
Difference between means
7
Q
What is the equation for mean squared error? (Predictors Statistics)
A
MSE = SST ÷ DF
