최신 A00-240 무료덤프 - SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

문제1

Which SAS program will best identify influential observations in a multiple regression application?

A. Option D

B. Option C

C. Option B

D. Option A

정답: B

문제2

An analyst investigates Region (A, B, or C) as an input variable in a logistic regression model.
The analyst discovers that the probability of purchasing a certain item when Region = A is 1.
What problem does this illustrate?

A. Problems that arise due to missing values

B. Quasi-complete separation

C. Influential observations

D. Collinearity

정답: B

문제3

Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

A. The predicted lift for the best 50% of validation data cases

B. The predicted lift if 50% of the population are randomly scored as event cases

C. The predicted lift if none of the population are scored as event cases

D. The predicted lift if the entire population is scored as event cases

정답: D

문제4

Given the following SAS data set TEST:

Which SAS program is NOT a correct way to create dummy variables?

A. Option D

B. Option C

C. Option B

D. Option A

정답: A

문제5

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

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

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

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

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

정답: A

문제6

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:

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.

정답: A

문제7

A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?

A. A decrease in Mean Square Error

B. A decrease in R-Square

C. No change in R-Square

D. An increase in R-Square

정답: D

문제8

The selection criterion used in the forward selection method in the GLMSELECT procedure is:

A. MSE

B. RSQ

C. R-squared

D. AIC

정답: D

문제9

Refer to the REG procedure output:

Click on the calculator button to display a calculator if needed.

A. 0.1372

B. 0.6994

C. 0.4115

D. 0.5884

정답: C

문제10

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?

A. Option D

B. Option C

C. Option B

D. Option A

정답: A

최신 A00-240 무료덤프 - SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

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