This question will ask you to provide a missing option.
A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in viewing the regression equation parameter estimates for each of the design variables.
Which option completes the program to produce the regression equation parameter estimates?
Answer : C
Which SAS program will best identify influential observations in a multiple regression application?
Answer : C
Refer to the exhibit.
Output from a multiple linear regression analysis is shown.
What is the most appropriate statement concerning collinearity between the input variables?
Answer : C
PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:
At Step 9 number of at bats (nAtBat) was removed from the model.
Why was it removed?
Answer : B
Refer to the exhibit.
These graphs were created using the GLM procedure with the plots(only)=diagnostics option.
Which plot do you use to identify influential observations?
Answer : A
A linear model has the following characteristics:
A dependent variable (y)
Three continuous predictor variables (x1-x3)
One categorical predictor variable (c1 with 3 levels)
Which SAS program fits this model?
Answer : D
A linear model has the following characteristics:
* A dependent variable (y)
* One continuous variable (x1)
* One categorical (1 with 3 levels) predictor variable and an interaction term (1 by x1)
How many parameters, including the intercept, will be estimated for this model?
Enter your numeric answer in the space below.
See Below Explanation:
Answer : A