SAS Statistical Business Analysis SAS9: Regression and Model A00-240 Exam Practice Test

A linear model has the following characteristics:

A dependent variable (y)

Three continuous predictor variables (x1-x3)

One categorical predictor variable (c1 with 3 levels)

Which SAS program fits this model?

Screening for non-linearity in binary logistic regression can be achieved by visualizing:

Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).

The following SAS program was used.

What does this program calculate?

Refer to the exhibit:

Which SAS program produced the graph?

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?

There are missing values in the input variables for a regression application.

Which SAS procedure provides a viable solution?

An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.

Which statement and option combination will generate these statistics?