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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Given a scenario where the response variable represents the number of accidents in a day, what distribution and link function might be appropriate for modeling?

A) Exponential distribution with a square root link function
B) Logistic distribution with a logit link function
C) Normal distribution with an identity link function
D) Poisson distribution with a log link function

2. What does it mean to create dummy variables in SAS Visual Data Builder?

A) Converting categorical variables into binary variables
B) Replacing missing values with zeros
C) Aggregating multiple measures into one variable
D) Generating artificial data points

3. Which SAS tools can be used to score new data using score code generated by SAS Visual Statistics?

A) SAS Data Integration Studio
B) SAS Studio
C) SAS Enterprise Miner
D) SAS Enterprise Guide

4. What is the primary purpose of reviewing the residual plot in linear regression analysis?

A) To detect outliers in the predictor variables
B) To determine the p-value associated with the response variable
C) To assess the linearity assumption and identify potential issues
D) To calculate the coefficient of determination (R-squared)

5. When creating a Linear Regression, Category Variables can be used for Classification Effects and

A) Response
B) Continuous Effects
C) Frequency
D) Group-by

Solutions: