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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit:

An economist is predicting demand using a linear regression model.
If all of the effect variables equal 1, what is the predicted demand?

A) 352.405432
B) 362.415133
C) 352.454433
D) 352.415433

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

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

3. Refer to the Parallel Coordinates Plot shown on the Exhibit.

Which two statements about cluster 0 in the Parallel Coordinates Plot are correct? (Choose two.)

A) In relation to the other clusters, it consists of people from the lower income group.
B) It contains the most observations.
C) In relation to the other clusters, it consists of people who are younger.
D) In relation to the other clusters, it consists of people whose house values are lower.

4. Which statement is correct about using a multinomial response variable (with 3 or more levels) in the logistic regression task in SAS Visual Statistics?

A) You cannot assign a response variable with 3 or more levels to the logistic regression visualization.
B) The resulting model is a binary logistic regression model with a selected level as the event.
C) The resulting model is a multinomial logistic regression model with a generalized logit link.
D) The resulting model is an ordinal logistic regression model with the lowest level of the response as the reference.

5. How can you appropriately change the number of clusters in a k-means cluster analysis?

A) By adjusting the learning rate
B) By changing the K-value
C) By modifying the random seed
D) By increasing the number of iterations

Solutions: