A00-240 SAS-Institute Exam Questions and Free Practice Test

Question 13

Refer to the REG procedure output:
A00-240 dumps exhibit
The Intercept estimate is interpreted as:

A. The predicted value of the response when all the predictors are at their current values.

B. The predicted value of the response when all predictors are at their means.

C. The predicted value of the response when all predictors = 0.

D. The predicted value of the response when all predictors are at their minimum values.

Correct Answer:C

Question 14

The standard form of a linear regression model is:
A00-240 dumps exhibit
Which statement best summarizes the assumptions placed on the errors?

A. The errors are correlated, normally distributed with constant mean and zero variance.

B. The errors are correlated, normally distributed with zero mean and constant variance.

C. The errors are independent, normally distributed with constant mean and zero variance.

D. The errors are independent, normally distributed with zero mean and constant variance.

Correct Answer:D

Question 15

An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See the partial output below:
A00-240 dumps exhibit
What is the most likely reason that the model fails to converge?

A. There is quasi-complete separation in the data.

B. There is collinearity among the predictors.

C. There are missing values in the data.

D. There are too many observations in the data.

Correct Answer:A

Question 16

Refer to the REG procedure output:
A00-240 dumps exhibit
An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.
Which statistic justifies this rationale?

A. R-Square

B. Coeff Var

C. Adj R-Sq

D. Error DF

Correct Answer:C

Question 17

Refer to the exhibit:
A00-240 dumps exhibit
An analyst examined logistic regression models for predicting whether a customer would make a purchase. The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule, 25% of the customers who did not make a purchase are incorrectly classified as purchasers.
What can be concluded from the graph?

A. About 25% of the customers who did make a purchase are correctly classified as making a purchase.

B. About 50% of the customers who did make a purchase are correctly classified as making a purchase.

C. About 85% of the customers who did make a purchase are correctly classified as making a purchase.

D. About 95% of the customers who did make a purchase are correctly classified as making a purchase.

Correct Answer:C

Question 18

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

A. A scatter plot of binary response versus a predictor variable.

B. A trend plot of empirical logit versus a predictor variable.

C. A logistic regression plot of predicted probability values versus a predictor variable.

D. A box plot of the odds ratio values versus a predictor variable.

Correct Answer:B

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