The Down To Date Guide To A00-240 Practice Question

NEW QUESTION 1
This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
Means Region / <insert option here> =levene;

• A. test
• B. adjust
• C. var
• D. hovtest

Answer: D

NEW QUESTION 2
Refer to the exhibit:

The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?

• A. Model
• B. It is more complex with a higher accuracy than model B on training data.
• C. Model
• D. It performs better on the boundary for the training data.
• E. Model
• F. It is more complex with a higher accuracy than model A on validation data.
• G. Model
• H. It is simpler with a higher accuracy than model A on validation data.

Answer: D

NEW QUESTION 3
Refer to the exhibit.

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

• A. All groups are significantly different from each other.
• B. 2XL is significantly different from all other groups.
• C. Only XL and 2XL are not significantly different from each other.
• D. No groups are significantly different from each other.

Answer: C

NEW QUESTION 4
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?

• A. Training: 50% Validation: 0% Testing: 50%
• B. Training: 100% Validation: 0% Testing: 0%
• C. Training: 0% Validation: 100% Testing: 0%
• D. Training: 50% Validation: 50% Testing: 0%

Answer: D

NEW QUESTION 5
Refer to the lift chart:

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

• A. Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.
• B. Selecting the observations with a response probability of at least 10% should result in3.14 times more events than a random draw of 10%.
• C. Selecting the top 10% of the population scored by the model should result in 3.14 timesgreater accuracy than a random draw of 10%.
• D. Selecting the observations with a response probability of atleast 10% should result in 3.14times greater accuracy than a random draw of 10%.

Answer: A

NEW QUESTION 6
Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.
Which SAS program computes the profit for each customer in the data set VALID?

• A. Option A
• B. Option B
• C. Option C
• D. Option D

Answer: A

NEW QUESTION 7
Given the following GLM procedure output:

Which statement is correct at an alpha level of 0.05?

• A. School*Gender should be removed because it is non-significant.
• B. Gender should be removed because it is non-significant.
• C. School should be removed because it is significant.
• D. Gender should not be removed due to its involvement in the significant interaction.

Answer: D

NEW QUESTION 8
Refer to the REG procedure output:

An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.
Which statistic justifies this rationale?

• A. R-Square
• B. Coeff Var
• C. Adj R-Sq
• D. Error DF

Answer: C

NEW QUESTION 9
A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.

The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC. Which SAS data steps will calculate the predicted probability of default on recent clients? (Choose two.)

• A. Option A
• B. Option B
• C. Option C
• D. Option D

Answer: AB

NEW QUESTION 10
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.

What is the estimated logit for a person with large wrist size? Click the calculator button to display a calculator if needed. A. 0.0819

• A. 0.5663
• B. -3.7727
• C. -1.0415

Answer: D

NEW QUESTION 11
Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).

• A. Option A
• B. Option B
• C. Option C
• D. Option D

Answer: B

NEW QUESTION 12
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?

• A. Collinearity
• B. Influential observations
• C. Quasi-complete separation
• D. Problems that arise due to missing values

Answer: C

NEW QUESTION 13
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?

• A. Scoredata=valid1 out=roc;
• B. Scoredata=valid1 outroc=roc;
• C. mode1resp(event= '1') = gender region/outroc=roc;
• D. mode1resp(event"1") = gender region/ out=roc;

Answer: B

NEW QUESTION 14
Refer to the confusion matrix:

Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome) Click the calculator button to display a calculator if needed.

• A. 25/48
• B. 58/102
• C. 25/B9
• D. 58/81

Answer: A

NEW QUESTION 15
Refer to the exhibit:

SAS output from the RSOUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the AIC statistic, which model is the champion model?

• A. Age Weight RunTime RunPulse MaxPulse
• B. Age Weight RunTime RunPulse RestPulse MaxPulse
• C. RestPulse
• D. RunTime

Answer: A

NEW QUESTION 16
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