A00-240 Exam Questions - Online Test
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NEW QUESTION 1
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 2
Refer to the REG procedure output:
The Intercept estimate is interpreted as:
- A. The predicted value of the response when all the predictors are at their current values.
- B. The predicted value of the response when all predictors are at their means.
- C. The predicted value of the response when all predictors = 0.
- D. The predicted value of the response when all predictors are at their minimum values.
Answer: C
NEW QUESTION 3
The selection criterion used in the forward selection method in the REG procedure is:
- A. Adjusted R-Square
- B. SLE
- C. Mallows' Cp
- D. AIC
Answer: B
NEW QUESTION 4
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 5
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 6
Refer to the REG procedure output:
Click on the calculator button to display a calculator if needed.
- A. 0.4115
- B. 0.6994
- C. 0.5884
- D. 0.1372
Answer: A
NEW QUESTION 7
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 8
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 9
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 10
A linear model has the following characteristics:
✑ A dependent variable (y)
✑ Three continuous predictor variables (x1-x3)
✑ One categorical predictor variable (c1with 3 levels)
Which SAS program fits this model?
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: D
NEW QUESTION 11
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 12
A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?
- A. An increase in R-Square
- B. A decrease in R-Square
- C. A decrease in Mean Square Error
- D. No change in R-Square
Answer: A
NEW QUESTION 13
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 14
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 15
One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).
What problem does this present?
- A. All parameter estimates are biased.
- B. Only the intercept estimate is biased.
- C. Only the non-intercept parameter estimates are biased.
- D. Sensitivity estimates are biased.
Answer: B
NEW QUESTION 16
Given the following SAS data set TEST:
Which SAS program is NOT a correct way to create dummy variables?
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: D
NEW QUESTION 17
What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?
- A. It violates assumptions of the model.
- B. It requires extra computational effort and time.
- C. It omits the training (and test) data sets from the benefits of the cleansing methods.
- D. There is no ability to compare the effectiveness of different cleansing methods.
Answer: D
NEW QUESTION 18
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 19
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.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation:
7
NEW QUESTION 20
Refer to the following odds ratio table:
What is a correct interpretation of the estimate?
- A. The odds of the event are 1.142 greater for each one dollar increase in salary.
- B. The odds of the event are 1.142 greater for each one thousand dollar increase in salary.
- C. The probability of the event is 1.142 greater for each one dollar increase in salary.
- D. The probability of the event is 1.142 greater for each one thousand dollar increase in salary.
Answer: B
NEW QUESTION 21
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 22
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. Medium wrist size is significantly different than small wrist size.
- B. Large wrist size is significantly different than medium wrist size.
- C. Large wrist size is significantly different than small wrist size.
- D. There is no significant difference due to wrist size.
Answer: C
NEW QUESTION 23
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?
- A. More high value customers are found in some regions than others.
- B. The difference between average purchases for medium and high value customers depends on the region.
- C. Regions with higher average purchases have more high value customers.
- D. Regions with higher average purchases have more medium value customers.
Answer: B
NEW QUESTION 24
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