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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q130-Q135):

NEW QUESTION # 130
Refer to the exhibit:

A cluster has been created with four variables selected on the roles tab.
Select the set of Parallel Coordinates Properties that would display the image in the exhibit.

Answer: C

NEW QUESTION # 131
In linear regression, what does the coefficient of determination (R-squared) measure?

A. The degree of multicollinearity among predictors
B. The p-value associated with the intercept term
C. The goodness of fit of the model to the data
D. The impact of outliers on the model

Answer: C

NEW QUESTION # 132
In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?

A. To determine the order of predictor variables in the model
B. To ensure that predictor variables are not highly correlated
C. To verify if the chosen model assumptions are met and make adjustments if necessary
D. To calculate the p-values of predictor variables

Answer: C

NEW QUESTION # 133
How can you interpret model results using the advanced group-by feature in SAS Visual Analytics?

A. Review the model coefficients for each level of the group-by variable
B. Visualize the predicted values for each level of the group-by variable
C. Explore interaction effects between the group-by variable and other predictors
D. Analyze the impact of different levels of the group-by variable on the model outcome

Answer: A,B,C,D

NEW QUESTION # 134
When examining the Fit Summary for group-by models, what can you analyze to evaluate the model fit?

A. AIC (Akaike Information Criterion)
B. p-value for the group-by variable
C. BIC (Bayesian Information Criterion)
D. R-squared value

Answer: A,C,D

NEW QUESTION # 135
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