A00-240 SAS Statistical Business Analysis SAS9: Regression and Model Questions and Answers

An analyst knows that the categorical predictor, storeId, is an important predictor of the target.

However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.

What are the two most effective ways to address the problem? (Choose two.)

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 non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model.

What will be the result?

After performing an ANOVA test, an analyst has determined that a significant effect exists due to income. The analyst wants to compare each Income to all others and wants to control for experimentwise error.

Which GLM procedure statement would provide the most appropriate output?

There are missing values in the input variables for a regression application.

Which SAS procedure provides a viable solution?

What is the default method in the LOGISTIC procedure to handle observations with missing data?

Refer to the REG procedure output:

An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.

Which statistic justifies this rationale?

An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.

Which statement and option combination will generate these statistics?

Refer to the ROC curve:

As you move along the curve, what changes?

Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).

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?