Month End Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

A00-240 Exam Dumps : SAS Statistical Business Analysis SAS9: Regression and Model

PDF
A00-240 pdf
 Real Exam Questions and Answer
 Last Update: Apr 30, 2025
 Question and Answers: 99
 Compatible with all Devices
 Printable Format
 100% Pass Guaranteed
$25.5  $84.99
A00-240 exam
PDF + Testing Engine
A00-240 PDF + engine
 Both PDF & Practice Software
 Last Update: Apr 30, 2025
 Question and Answers: 99
 Discount Offer
 Download Free Demo
 24/7 Customer Support
$40.5  $134.99
Testing Engine
A00-240 Engine
 Desktop Based Application
 Last Update: Apr 30, 2025
 Question and Answers: 99
 Create Multiple Test Sets
 Questions Regularly Updated
  90 Days Free Updates
  Windows and Mac Compatible
$30  $99.99

Verified By IT Certified Experts

CertsTopics.com Certified Safe Files

Up-To-Date Exam Study Material

99.5% High Success Pass Rate

100% Accurate Answers

Instant Downloads

Exam Questions And Answers PDF

Try Demo Before You Buy

Certification Exams with Helpful Questions And Answers

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

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.

Buy Now
Question 2

Select the equivalent LOGISTIC procedure model statements. (Choose two.)

Options:

A.

Mode1 Purchase * Gender Age Region;

B.

Mode1 Purchase * Gender | Age | Region;

C.

Mode1 Purchase * Gender|Age|Region @1;

D.

Mode1 Purchase * Gender|Age|Region @2;

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.