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2021 Sep A00-240 actual exam
Q31. 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 in 3.14 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
Q32. 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
Q33. 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
Q34. 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
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Q35. 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
Q36. An analyst compares the mean salaries of men and women working at a company.
The SAS data set SALARY contains variables:
-Gender (M or F) -Pay (dollars per year)
Which SAS programs can be used to find the p-value for comparing men's salaries with women's salaries? (Choose two.)
A. Option A
B. Option B
C. Option C
D. Option D
Answer: A,B
Q37. 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
Q38. Refer to the following exhibit:
What is a correct interpretation of this graph?
A. The association between the continuous predictor and the binary response is quadratic.
B. The association between the continuous predictor and the log-odds is quadratic.
C. The association between the continuous predictor and the continuous response is quadratic.
D. The association between the binary predictor and the log-odds is quadratic.
Answer: B
Q39. The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?
A. Training data
B. Total data
C. Test data
D. Validation data
Answer: D