Renewal A00-240 Practice Exam 2021
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NEW QUESTION 1
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)
- A. Simple random sampling without replacement
- B. Simple random sampling with replacement
- C. Stratified random sampling without replacement
- D. Sequential random sampling with replacement
Answer: AC
NEW QUESTION 2
Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?
- A. Use the SCORE statement in the LOGISTIC procedure.
- B. Augment the training data set with new observations and set their responses to missing.
- C. Augment the training data set with new observations and rerun the LOGISTIC procedure.
- D. Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.
Answer: C
NEW QUESTION 3
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 4
This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
- A. X=40, Y=10
- B. X=.05, Y=10
- C. X=.05, Y=.40
- D. X=.10.Y=05
Answer: B
NEW QUESTION 5
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 6
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 7
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 8
A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.
The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.
It has the following characteristics:
✑ Target variable Respond (0,1)
✑ Continuous predictor Income
✑ Categorical predictor Homeowner(Y,N)
Which SAS program performs this analysis?
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: A
NEW QUESTION 9
Given the following LOGISTIC procedure:
What is the difference between the datasets OUTFILEJ and OUTFILE_2?
- A. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.
- B. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
- C. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.
- D. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.
Answer: A
NEW QUESTION 10
Screening for non-linearity in binary logistic regression can be achieved by visualizing:
- A. A scatter plot of binary response versus a predictor variable.
- B. A trend plot of empirical logit versus a predictor variable.
- C. A logistic regression plot of predicted probability values versus a predictor variable.
- D. A box plot of the odds ratio values versus a predictor variable.
Answer: B
NEW QUESTION 11
Including redundant input variables in a regression model can:
- A. Stabilize parameter estimates and increase the risk of overfitting.
- B. Destabilize parameter estimates and increase the risk of overfitting.
- C. Stabilize parameter estimates and decrease the risk of overfitting.
- D. Destabilize parameter estimates and decrease the risk of overfitting.
Answer: B
NEW QUESTION 12
Refer to the lift chart:
What does the reference line at lift = 1 corresponds to?
- 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
Answer: B
NEW QUESTION 13
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 14
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 15
Which SAS program will divide the original data set into 60% training and 40% validation
data sets, stratified by county?
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: C
NEW QUESTION 16
Refer to the exhibit:
An analyst examined logistic regression models for predicting whether a customer would make a purchase. The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule, 25% of the customers who did not make a purchase are incorrectly classified as purchasers.
What can be concluded from the graph?
- A. About 25% of the customers who did make a purchase are correctly classified as making a purchase.
- B. About 50% of the customers who did make a purchase are correctly classified as making a purchase.
- C. About 85% of the customers who did make a purchase are correctly classified as making a purchase.
- D. About 95% of the customers who did make a purchase are correctly classified as making a purchase.
Answer: C
NEW QUESTION 17
A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes
$500 revenue for each sale.
What is the profit matrix for a typical person in the population?
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: C
NEW QUESTION 18
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?
- A. Normality, because Prob > F < .0001.
- B. Normality, because the interquartile ranges are different in different ad campaigns.
- C. Constant variance, because Prob > F < .0001.
- D. Constant variance, because the interquartile ranges are different in different ad campaigns.
Answer: D
NEW QUESTION 19
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?
- A. Adjusted R Square
- B. Mallow's Cp
- C. Chi Square
- D. Average Squared Error
Answer: D
NEW QUESTION 20
What is the default method in the LOGISTIC procedure to handle observations with missing data?
- 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.
Answer: D
NEW QUESTION 21
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