SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Exam (A00-240) - SASI Exam Questions

When working with smaller data sets (N<200), which method is preferred to perform honest assessment?

DRAG DROP Drag the adjustment formulas for oversamping from the left and place them into the correct location in the confusion matrix shown on the right.

This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1)
and 60% were non-events (TARGET=0). The analyst knows that the population where the model will
be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit
margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.

Given the following SAS program:



What X and Y values should be added to the program to correctly score the data?

An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.

What is the purpose of the training data set?

Refer to the exhibit.



Output from a multiple linear regression analysis is shown. What is the most appropriate statement concerning collinearity between the input variables?