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NEW QUESTION 1
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 2
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 3
A predictive model uses a data set that has several variables with missing values. What two problems can arise with this model? (Choose two.)
- A. The model will likely be overfit.
- B. There will be a high rate of collinearity among input variables.
- C. Complete case analysis means that fewer observations will be used in the model building process.
- D. New cases with missing values on input variables cannot be scored without extra data processing.
Answer: CD
NEW QUESTION 4
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
NEW QUESTION 5
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 6
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 7
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 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
Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: B
NEW QUESTION 10
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
NEW QUESTION 11
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 12
An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See the partial output below:
What is the most likely reason that the model fails to converge?
- A. There is quasi-complete separation in the data.
- B. There is collinearity among the predictors.
- C. There are missing values in the data.
- D. There are too many observations in the data.
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
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 15
An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.
What is the purpose of the test data set?
- A. To provide a unbiased measure of assessment for the final model.
- B. To compare models and select and fine-tune the final model.
- C. To reduce total sample size to make computations more efficient.
- D. To build the predictive models.
Answer: A
NEW QUESTION 16
Which SAS program will detect collinearity in a multiple regression application?
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: B
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