Consider the model output below for a multiple regression to predict overall cru
ID: 3154887 • Letter: C
Question
Consider the model output below for a multiple regression to predict overall cruise ship rating from the listed predictors. Use it to answer Questions 15 & 16.
Regression Analysis: Overall versus Itineraries/Schedule, Shore Excursions, Food/Dining
Model Summary
S R-sq R-sq(adj) R-sq(pred)
1.38775 74.98% 70.29% 58.09%
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Constant 35.6 13.2 2.69 0.016
Itineraries/Schedule 0.110 0.130 0.85 0.407 1.05
Shore Excursions 0.2445 0.0434 ____ _____ 1.07
Food/Dining 0.2474 0.0621 3.98 0.000 1.01
15. What are the missing T-Value and P-Value for Shore Excursions?
16. Which of the following statements below are true?
A) If Itineraries/Schedule is removed from the model, the multiple R-squared will decrease.
B) If Itineraries/Schedule is removed from the model, the adjusted R-squared will decrease.
C) If Itineraries/Schedule is removed from the model, the multiple R-squared will increase.
D) Cannot be determined based on the given information.
Please Explain
Explanation / Answer
15. What are the missing T-Value and P-Value for Shore Excursions?
T = 0.2445 / 0.0434 = 5.6336
p value : 0.0000
16. Which of the following statements below are true?
A) If Itineraries/Schedule is removed from the model, the multiple R-squared will decrease.
that is because the p value of that variable is bigger that means that the variable is very significant and the model can explained the result with that variable
if the variable schedule is removed from the model Rsquared will be lower that means there will be less variation that the model can be explain