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NEW QUESTION 14
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a
binary target variable?
- A. Chi Square
- B. Mallow's Cp
- C. Average Squared Error
- D. Adjusted R Square
Answer: C
NEW QUESTION 15
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 D
- C. Option C
- D. Option B
Answer: A,D
NEW QUESTION 16
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
- B. -3.7727
- C. 0.5663
- D. -1.0415
Answer: D
NEW QUESTION 17
CORRECT TEXT
A linear model has the following characteristics:
*A dependent variable (y)
*One continuous variable (xl), including a quadratic term (x12)
*One categorical (d with 3 levels) predictor variable and an interaction term (d by x1)
How many parameters, including the intercept, are associated with this model?
Enter your numeric answer in the space below. Do not add leading or trailing spaces to your answer.
Answer:
Explanation:
7
NEW QUESTION 18
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 D
- C. Option C
- D. Option B
Answer: A,D
NEW QUESTION 19
Refer to the confusion matrix:
Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)
- A. Accuracy = 83/150, Error Rate = 67/150
- B. Accuracy = 58/102, Error Rate = 23/48
- C. Accuracy = 25/150, Error Rate = 44/150
- D. Accuracy = 83/102, Error Rate = 67/102
Answer: B
NEW QUESTION 20
Refer to the ROC curve:
As you move along the curve, what changes?
- A. The true negative rate in the population
- B. The priors in the population
- C. The proportion of events in the training data
- D. The probability cutoff for scoring
Answer: D
NEW QUESTION 21
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 D
- C. Option B
- D. Option C
Answer: D
NEW QUESTION 22
Refer to the REG procedure output:
The Intercept estimate is interpreted as:
- A. The predicted value of the response when all predictors = 0.
- B. The predicted value of the response when all predictors are at their means.
- C. The predicted value of the response when all the predictors are at their current values.
- D. The predicted value of the response when all predictors are at their minimum values.
Answer: A
NEW QUESTION 23
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. var
- B. test
- C. hovtest
- D. adjust
Answer: C
Explanation:
Explanation
NEW QUESTION 24
This question will ask you to provide a missing option. Given the following SAS program:
What option must be added to the program to obtain a data set containing Pearson statistics?
- A. OUTSTAT=estimates
- B. OUTCORR=estimates
- C. OUTPUT=estimates
- D. OUTP=estimates
Answer: D
NEW QUESTION 25
Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by investigating the association between which function of the input variables?
- A. Weighted sum of chi-square statistics for 2x2 tables
- B. Rank-ordered values of the variables
- C. Concordant and discordant pairs of ranked observations
- D. Logit link (log (p/1-p))
Answer: B
NEW QUESTION 26
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 D
- C. Option B
- D. Option C
Answer: D
NEW QUESTION 27
Refer to the exhibit.
Which conclusion is justified concerning Sales, comparing stores A, B, and C?
- A. Store C is significantly different from Store A.
- B. There is no significant difference between stores.
- C. Store B is significantly different from store C.
- D. Store B is significantly different from store A.
Answer: A
NEW QUESTION 28
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. Test data
- C. Validation data
- D. Total data
Answer: C
NEW QUESTION 29
Refer to the exhibit.
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?
- A. Large wrist size is significantly different than small wrist size.
- B. Large wrist size is significantly different than medium wrist size.
- C. There is no significant difference due to wrist size.
- D. Medium wrist size is significantly different than small wrist size.
Answer: A
NEW QUESTION 30
While building a predictive model, median imputations are performed while preparing the training data.
How should the imputations be addressed in the validation data?
- A. The imputed values must be recalculated using the validation data.
- B. The imputed values must be applied directly to the validation data without recalculation.
- C. The imputed values must be recalculated using both the training and the validation data.
- D. The imputed values are irrelevant to the validation data, and are not used.
Answer: A
NEW QUESTION 31
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. Test data
- C. Validation data
- D. Total data
Answer: C
NEW QUESTION 32
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?
- A. Chi Square
- B. Mallow's Cp
- C. Average Squared Error
- D. Adjusted R Square
Answer: C
NEW QUESTION 33
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 85% 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 95% of the customers who did make a purchase are correctly classified as making a purchase.
- D. About 25% of the customers who did make a purchase are correctly classified as making a purchase.
Answer: A
NEW QUESTION 34
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.)
- A.
- B.
- C.
- D.
Answer: B,C
Explanation:
Explanation
NEW QUESTION 35
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Feb-2023 Latest TestBraindump A00-240 Exam Dumps with PDF and Exam Engine: https://quiztorrent.testbraindump.com/A00-240-exam-prep.html
