최신 A00-485 무료덤프 - SASInstitute Modeling Using SAS Visual Statistics

A. The other levels are grouped into one non-event.

B. An ordinal logistic regression is performed.

C. A multinomial logistic regression is performed.

D. The other levels are offset to account for exposure.

A. For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.

B. RestPulse is a significant predictor of the response.

C. The Intercept is an important predictor of the response.

D. For one one-unit increase in RunTime, there is an expected increase in the response of 2.6287.

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

B. The number of observations in each group

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

D. The distribution of the group-by variable

A. The distribution of the response variable

B. The relationship between two predictor variables

C. The trade-off between false positives and false negatives at different thresholds

D. The performance of models in terms of AUC

A. Missing data that is randomly distributed across observations

B. Missing data that is unrelated to the outcome variable

C. Missing data that leads to multicollinearity among predictors

D. Missing data that provides valuable information about the outcome

A. It summarizes the performance metrics of the decision tree.

B. It shows the decision boundaries between classes.

C. It displays the hierarchical structure of the decision tree.

D. It visualizes the distribution of data points in leaf nodes.

A. Fit statistics such as AIC and BIC

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

C. Variable Importance

D. Visualization of model residuals

A. To assess the distribution of residuals in the model

B. To evaluate the performance of the scoring code

C. To apply the trained model to new data for predictions

D. To calculate the p-values of predictor variables

A. logistic regression model using the Probit link function

B. generalized linear model using the binomial distribution and the log link function

C. logistic regression model using the Logit link function

D. logistic regression model using the Tobit link function

A. Create a visualization filter to suppress the incorrect variations of a country.

B. Create a data source filter to suppress the incorrect variations of a country.

C. Create a calculated item using a Boolean IF...ELSE statement that changes the incorrect variations.

D. Create a Custom Category that combines all the variations of a country into one.