H use the model youve selected to make a point

h. Use the model you’ve selected to make a point prediction of coach’s salary
for the median(s) of your predictor(s) along with 95% prediction and
confidence intervals.

The regression equation is:
Overall =
_________________________________________________________
Predictor Coef SE Coef T P
Constant 35.62 13.23 2.69 0.016
Itineraries/Schedule 0.1105 0.1297 0.85 0.407
Shore Excursions 0.24454 0.04336 ____ ______
Food/Dining 0.24736 0.06212 3.98 0.000
S = 1.38775 R-Sq = _____________ R-Sq(adj) = 70.3%
Analysis of Variance
Source DF SS MS F P
Regression __ 92.352 _______ ______ 0.000
Residual Error __ _______ ______
Total 19 _______
Predicted Values for New Observations
New Obs Fit SE Fit 95% ____ 95% ____
1 ____ 0.320 (________, 89.620) (85.922, _______)
Values of Predictors for New Observations
Shore
New Obs Itineraries/Schedule Excursions Food/Dining
1 93.0 84.0 91.0
2. In a 2012 issue, Conde Nast Magazine listed the overall ratings of their 20
highest rated cruise ships along with the ratings on the predictors shown
above.
a. Complete the regression and ANOVA output for the multiple regression
of overall rating vs. these predictors.
b. Which predictor should we consider removing from the model and why?
c. Compute a regression model with the predictor identified in b. removed.

d. Compute separate simple regression models with all 3 predictors,
respectively. Does the multiple regression model you computed in c.
give any prediction advantage over the best of the simple regression
models?
e. For the model in c. and the best of the simple regression models, make
point predictions for the medians of the predictors along with 95%
prediction and confidence intervals. Compare the confidence intervals.
What relationship should you expect between the regression models
and their confidence intervals?