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Viewing questions 11-20 out of questions
Questions # 11:

A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.

For which of the following would this study be a candidate?

Options:

A.

over fitting

B.

oversampling

C.

multicollinearity

D.

simple random sample

Questions # 12:

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

Options:

A.

Simple random sampling without replacement

B.

Simple random sampling with replacement

C.

Stratified random sampling without replacement

D.

Sequential random sampling with replacement

Questions # 13:

One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).

What problem does this present?

Options:

A.

All parameter estimates are biased.

B.

Only the intercept estimate is biased.

C.

Only the non-intercept parameter estimates are biased.

D.

Sensitivity estimates are biased.

Questions # 14:

Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?

Options:

A.

KS

B.

SBC

C.

Max EDF

D.

Brier Score

Questions # 15:

This question will ask you to provide a missing option.

Given the following SAS program:

Question # 15

What option must be added to the program to obtain a data set containing Spearman statistics?

Options:

A.

OUTCORR=estimates

B.

OUTS=estimates

C.

OUT=estimates

D.

OUTPUT=estimates

Questions # 16:

This question will ask you to provide a missing option. Given the following SAS program:

Question # 16

What option must be added to the program to obtain a data set containing Pearson statistics?

Options:

A.

OUTPUT=estimates

B.

OUTP=estimates

C.

OUTSTAT=estimates

D.

OUTCORR=estimates

Questions # 17:

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?

Options:

A.

Collinearity

B.

Influential observations

C.

Quasi-complete separation

D.

Problems that arise due to missing values

Questions # 18:

Refer to the exhibit.

Question # 18

Which conclusion is justified concerning Sales, comparing stores A, B, and C?

Options:

A.

Store B is significantly different from store A.

B.

Store C is significantly different from Store A.

C.

Store B is significantly different from store C.

D.

There is no significant difference between stores.

Questions # 19:

The following LOGISTIC procedure output analyzes the relationship between a binary response and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large (L) as the reference level.

Question # 19

What is the estimated logit for a person with large wrist size?

Click the calculator button to display a calculator if needed.

Options:

A.

0.0819

B.

0.5663

C.

-3.7727

D.

-1.0415

Questions # 20:

Given the following LOGISTIC procedure:

Question # 20

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

Options:

A.

OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.

B.

OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities

C.

OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.

D.

OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.

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