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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. How is prediction typically performed in logistic regression?

A) By maximizing the likelihood of the response variable
B) By calculating the mean of the response variable
C) By estimating the probability of an event for each observation
D) By fitting a straight line through the data points

2. What is the maximum number of response variables that SAS Visual Statistics allows for a decision tree?

A) 5
B) 1
C) 7
D) 3

3. What are the benefits of applying filters to both visualization and data source in SAS Visual Analytics?

A) Improved security by restricting access to specific data
B) Increased performance by reducing data retrieval from the source
C) Enhanced user experience by providing more interactive filtering options
D) Consistency in data presentation across multiple visualizations

4. Select the best distribution to model with linear regression.

A)

B)

C)

D)

5. Refer to the exhibit from a linear regression model in SAS Visual Statistics:

Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?

A) Age is a significant predictor of the response.
B) The Intercept is an important predictor of the response.
C) For one one-unit increase in Average Sales, there is an expected increase in the response of
4475.443.
D) For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.

Solutions: