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SAS Institute A00-240 Exam With Confidence Using Practice Dumps

Exam Code:
A00-240
Exam Name:
SAS Statistical Business Analysis SAS9: Regression and Model
Certification:
Statistical Business Analyst
Vendor:
SAS Institute
Questions:
99
Last Updated:
Dec 21, 2024
Exam Status:
Stable
SAS Institute A00-240

A00-240: Statistical Business Analyst Exam 2024 Study Guide Pdf and Test Engine

Are you worried about passing the SAS Institute A00-240 (SAS Statistical Business Analysis SAS9: Regression and Model) exam? Download the most recent SAS Institute A00-240 braindumps with answers that are 100% real. After downloading the SAS Institute A00-240 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the SAS Institute A00-240 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the SAS Institute A00-240 exam on your first attempt, we have compiled actual exam questions and their answers. 

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SAS Statistical Business Analysis SAS9: Regression and Model Questions and Answers

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Question 1

Refer to the confusion matrix:

Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome)

Click the calculator button to display a calculator if needed.

Options:

A.

25/48

B.

58/102

C.

25/B9

D.

58/81

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Question 2

What is the default method in the LOGISTIC procedure to handle observations with missing data?

Options:

A.

Missing values are imputed.

B.

Parameters are estimated accounting for the missing values.

C.

Parameter estimates are made on all available data.

D.

Only cases with variables that are fully populated are used.

Question 3

An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target. However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.

What is the correct application of Greenacre's method in this situation?

Options:

A.

Clustering the levels using the target proportion for each zip_code as input.

B.

Clustering the levels using the zip_code values as input.

C.

Clustering the levels using the number of cases in each zip_code as input.

D.

Clustering the levels using dummy coded zip_code levels as inputs.

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