(2026) PASS A00-240 exam with SASInstitute A00-240 Real Exam Questions [Q26-Q48]

QUESTION 26
A predictive model uses a data set that has several variables with missing values.
What two problems can arise with this model? (Choose two.)

QUESTION 27
Suppose training data are oversampled in the event group to make the number of events and non-events
roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the
variable name PE. A decision rule considered is, “Classify data as an event if probability is greater than
0.5.” Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0
No event).
The following SAS program was used.

What does this program calculate?

QUESTION 28
Refer to the lift chart:

At a depth of 0.1, Lift = 3.14. What does this mean?

QUESTION 29
The SAS data set RESULT contains the following variables:
* Region (GrpA or GrpB)
* Sales (dollars per year)
Which SAS programs can be used to find the p-value for comparing GrpA sales with GrpB sales? (Choose two.)

QUESTION 30
Refer to the exhibit:

The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?

QUESTION 31
Refer to the exhibit.

Based on the control plot, which conclusion is justified regarding the means of the response?

QUESTION 32
An analyst knows that the categorical predictor, storeId, is an important predictor of the target.
However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.
What are the two most effective ways to address the problem? (Choose two.)

QUESTION 33
Given the following output from the LOGISTIC procedure:

Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?

QUESTION 34
The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

QUESTION 35
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?

QUESTION 36
Refer to the REG procedure output:

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

QUESTION 37
A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model.
What will be the result?

QUESTION 38
A company has branch offices in eight regions. Customers within each region are classified as either “High
Value” or “Medium Value” and are coded using the variable name VALUE. In the last year, the total
amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?

QUESTION 39
The Model SS in a multiple linear regression model is equal to:

QUESTION 40
Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

QUESTION 41
The standard form of a linear regression model is:

Which statement best summarizes the assumptions placed on the errors?

QUESTION 42
When mean imputation is performed on data after the data is partitioned for honest assessment,
what is the most appropriate method for handling the mean imputation?

QUESTION 43
An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.
Which statement and option combination will generate these statistics?

QUESTION 44
A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression
model.
What will be the result?

QUESTION 45
Given the following SAS data set TEST:

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

QUESTION 46
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a
binary target variable?

QUESTION 47
Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

QUESTION 48
Within PROC GLM, the interaction between the two categorical predictors, Income and Gender, was shown to be significant. An item store was saved from the GLM analysis.
Which statement from PROC PLM would test the significance of Gender within each level of Income and adjust for multiple tests?