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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q185-Q190):

NEW QUESTION # 185
When examining the Cluster Summary tab, what information is typically available?

A. The decision tree structure for each cluster
B. The number of variables in the analysis
C. Statistics for each cluster, such as mean and standard deviation
D. The number of iterations performed during clustering

Answer: C

NEW QUESTION # 186
When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?

A. The predicted events remain unchanged and the predicted probabilities increase.
B. The predicted events increase and the predicted probabilities remain unchanged.
C. The predicted events remain unchanged and the predicted probabilities decrease.
D. The predicted events decrease and the predicted probabilities remain unchanged.

Answer: D

NEW QUESTION # 187
Which statement is true for the Informative Missingness property in SAS Visual Statistics?

A. Missing values are flagged on diagnostic plots.
B. The user is prompted to fill in a value to impute for missing predictor variables.
C. Missing values are imputed and indicator variables are created for missing predictors.
D. A table of missingness patterns for the predictor variables is displayed in the model output.

Answer: C

NEW QUESTION # 188
What information is conveyed by a Summary bar in model assessment?

A. The standard deviation of the predictor variables
B. The performance metrics of the model, such as AUC and KS Statistic
C. The summary statistics of the response variable
D. The distribution of residuals in the model

Answer: B

NEW QUESTION # 189
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. For one one-unit increase in RunTime, there is an expected increase in the response of 2.6287.
B. The Intercept is an important predictor of the response.
C. RestPulse is a significant predictor of the response.
D. For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.

Answer: A

NEW QUESTION # 190
......

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SASInstitute A00-485 New Test Camp & New A00-485 Test Testking

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q185-Q190):

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