SASInstitute Modeling Using SAS Visual Statistics - A00-485 Exam Practice Test

A. The p-values associated with the outliers

B. The magnitude of the outlier and its impact on the model

C. The number of outliers in the dataset

D. The variable roles assigned to outliers

A. To specify which variables are categorical and which are continuous

B. To indicate which variables are predictors and which are responses

C. To determine the order in which variables are entered into the model

D. To determine the level of significance for each variable

A. 352.454433

B. 362.415133

C. 352.415433

D. 352.405432

A. The number of iterations performed by each model

B. The relationship between two predictor variables

C. The distribution of predictor variables

D. Model performance metrics, such as AUC and KS Statistic

A. The maximum number of interactions allowed in a model is 3.

B. Measures and categories can be combined to create an interaction.

C. Each interaction is limited to 3 effects or fewer.

D. An interaction can be created for a squared category variable.

A. Grouping similar data points together without predefined labels

B. Using a decision tree for data classification

C. Creating a scatter plot of data points

D. Assigning predefined labels to data points

A. By printing it directly from the SAS Visual Statistics interface

B. By exporting it as a PDF document

C. By exporting it as a standalone script file

D. By copying and pasting it into a text editor

A. Variable Importance

B. Fit statistics such as AIC and BIC

C. Group-by variable with the highest p-value

D. Visualization of model residuals

A. It is calculated using the variable with the greatest number of bins.

B. It is calculated using the number of variables visible in the plot.

C. It cannot exceed 3,000.

D. It is calculated using the number of variables used in the cluster analysis.

A. The mean value of the target variable for each group

B. The number of observations in each group

C. The distribution of the group-by variable

D. The standard deviation of the target variable for each group

A. Input

B. Target

C. Interval

D. Nominal

A. Likelihood Displacement

B. Adjusted R-Squared

C. AIC

D. Concordance