A00-485 無料問題集「SASInstitute Modeling Using SAS Visual Statistics」

（A）Select View Measure Details within the Actions menu to the right of the dataset name.

（B）Select a histogram object for each measure.

（C）Create a calculated item subtracting the Min aggregation from the Max aggregation.

（D）Create aggregated measures using the Min and Max aggregations.

（A）ROC Chart

（B）Logworth

（C）English Rules

（D）Icicle Plot

（A）The learning rate of the model

（B）The AUC (Area Under the Curve)

（C）The p-value of the intercept term

（D）The R-squared value

（A）Coefficients and p-values

（B）The learning rate

（C）The number of iterations

（D）The distribution of the response variable

（A）Generalized linear model

（B）Linear regression

（C）Logistic regression

（D）Decision tree

（A）When the p-value is exactly 0.05

（B）When the p-value is less than 0.05

（C）When the p-value is greater than 0.05

（D）When the p-value is less than 0.01

（A）cluster matrix plot

（B）score code

（C）parallel coordinates plot

（D）cluster summary table

（A）Before assigning roles to variables

（B）After specifying the number of predictors

（C）After specifying the learning rate

（D）Based on the nature of the response variable and the problem

（A）When there is no assumption of linearity in the data

（B）When the goal is to model categorical outcomes

（C）When the dependent variable is binary

（D）When dealing with count data

（A）Assessment

（B）Residual Plot

（C）Influence Plot

（D）Fit Summary