Model B is below.
Answer 8 -10 questions please.
(8) True, model C has a higher Multiple R-squared value than
Model B, because in linear regression, every time we add a new
variable to the model, the Multiple R-squared value of the model
always keeps on increasing.
(9) True, mode C has a lower Adjusted R-squared value than Model B,
because in linear regression, the Adjusted R-squared value
decreases if we add an insignificant variable to the model. Here,
the variable "T/S ratio" is insignificant to model C. Hence, the
Adjusted R-squared value has decreased.
(10) Multiple R-squared value for Model C = 1 - (932.39/5598.1) =
0.8334 = 83.34%
C. Regression Analysis: Avg. Tot. Score versus PPS, %Takers, T/S Ratio Model Summary SR-sg R-sq (...