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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:
Apr 30, 2025
Exam Status:
Stable
SAS Institute A00-240

A00-240: Statistical Business Analyst Exam 2025 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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Related SAS Institute Exams

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

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Question 1

A predictive model uses a data set that has several variables with missing values.

What two problems can arise with this model? (Choose two.)

Options:

A.

The model will likely be overfit.

B.

There will be a high rate of collinearity among input variables.

C.

Complete case analysis means that fewer observations will be used in the model building process.

D.

New cases with missing values on input variables cannot be scored without extra data processing.

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Question 2

Refer to the lift chart:

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

Options:

A.

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

B.

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

C.

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

D.

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

Question 3

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.

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