Model Fit

Question 1

what does SSm, SSr and SSt stand for?

Answer 1

sum of squares mean, sum of squares residual, sum of squares total

Question 2

what is the model fit?

Answer 2

the differences between the observed value and predicted value

Question 3

what is the model sum of squares?

Answer 3

improvement in the model

Question 4

what is the total sum of squares?

Answer 4

total variance in the model

Question 5

what is the residual sum of squares?

Answer 5

error in the model

Question 6

what is the F statistic?

Answer 6

the fit of the model / how much the variables improved by the model

Question 7

what is R^2?

Answer 7

variance accounted for by the model

Question 8

how do you calculate R^2?

Answer 8

SSm ./. SSt

Question 9

what is adjusted R^2?

Answer 9

R^2 to suit the number of predictors

Question 10

what is R^2 change?

Answer 10

the improvement in R^2 when a second predictor is added

Question 11

testing parameters is…

Answer 11

the relationship between variables and the differences between means