The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?

• A.Validation data
• B.Total data
• C.Training data
• D.Test data

Comment: *

Name: *

Email: *

Verification: *

Refer to the exhibit: The box plot was used to analyze daily sales data following three different ad campaigns.

The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?

• A.Constant variance, because the interquartile ranges are different in different ad campaigns.
• B.Normality, because Prob > F < .0001.
• C.Normality, because the interquartile ranges are different in different ad campaigns.
• D.Constant variance, because Prob > F < .0001.

Comment: *

Name: *

Email: *

Verification: *

A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?

• A.More high value customers are found in some regions than others.
• B.The difference between average purchases for medium and high value customers depends on the region.
• C.Regions with higher average purchases have more high value customers.
• D.Regions with higher average purchases have more medium value customers.

Comment: *

Name: *

Email: *

Verification: *

Which SAS program will detect collinearity in a multiple regression application?

• A.Option D
• B.Option B
• C.Option A
• D.Option C

Comment: *

Name: *

Email: *

Verification: *

A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?

• A.No change in R-Square
• B.An increase in R-Square
• C.A decrease in R-Square
• D.A decrease in Mean Square Error

Comment: *

Name: *

Email: *

Verification: *