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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary purpose of modeling effects in linear regression?

A) To identify outliers in the data
B) To assess multicollinearity among predictors
C) To capture the relationship between predictors and the response variable
D) To calculate the p-values of the predictors

2. Refer to the exhibit:

A retailer wants to use a decision tree to select one segment to mail 35,000 coupons to existing customers for a new line of organic products.
Assuming that customers who have purchased organic products in the past are likely to want new organic products in the future, select the single best Leaf ID for the mailing.

A) 18
B) 17
C) 15
D) 12

3. When interpreting a Residual Plot, what does it reveal about the model's performance?

A) The presence of any outliers or patterns in prediction errors
B) The p-values associated with the predictor variables
C) The linear relationship between predictors and the response
D) The distribution of predictor variables in the dataset

4. When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?

A) Running a SQL query to generate predictions
B) Dragging and dropping the score code file into the project
C) Opening the code file and manually executing it
D) Converting the code to a macro for automation

5. Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables.

A) y = b0 + b1X1 + (b2/b1)X2
B) y = b0 + b1X1 + b2X2
C) y = b0 + b1X1 + b2X2 + b3(X1X2)
D) y = b0 + b1X1 + b2X1 3

Solutions: