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NEW QUESTION 1
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. Concordant and discordant pairs of ranked observations
- B. Logit link (log(p/1-p))
- C. Rank-ordered values of the variables
- D. Weighted sum of chi-square statistics for 2x2 tables
Answer: C
NEW QUESTION 2
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 3
Refer to the ROC curve:
As you move along the curve, what changes?
- A. The priors in the population
- B. The true negative rate in the population
- C. The proportion of events in the training data
- D. The probability cutoff for scoring
Answer: D
NEW QUESTION 4
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 5
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 6
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 7
A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?
- A. Sensitivity and PV+
- B. Specificity and PV-
- C. PV+ and PV-
- D. Sensitivity and Specificity
Answer: D
NEW QUESTION 8
An analyst knows that the categorical predictor, storeId, is an important predictor of the target.
However, store_Id has too many levels to be a feasible predictor in the model. The analyst
wants to combine stores and treat them as members of the same class level. What are the two most effective ways to address the problem? (Choose two.)
- A. Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
- B. Cluster by using Greenacre's method to combine stores that are similar.
- C. Use subject matter expertise to combine stores that are similar.
- D. Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.
Answer: BC
NEW QUESTION 9
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 10
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 11
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 12
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 13
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 14
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 15
Refer to the exhibit:
Based upon the comparative ROC plot for two competing models, which is the champion model and why?
- A. Candidate 1, because the area outside the curve is greater
- B. Candidate 2, because the area under the curve is greater
- C. Candidate 1, because it is closer to the diagonal reference curve
- D. Candidate 2, because it shows less over fit than Candidate 1
Answer: B
NEW QUESTION 16
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 17
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 18
Which of the following describes a concordant pair of observations in the LOGISTIC procedure?
- A. An observation with the event has an equal probability as another observation with the event.
- B. An observation with the event has a lower predicted probability than the observation without the event.
- C. An observation with the event has an equal predicted probability as the observation without the event.
- D. An observation with the event has a higher predicted probability than the observation without the event
Answer: D
NEW QUESTION 19
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 20
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
NEW QUESTION 21
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 22
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 23
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