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質問 # 15
Given the following output from the LOGISTIC procedure:
Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and
least relative importance on the fitted model?
- A. Greatest: DOWN_AMT
Least: CASH - B. Greatest: MBA
Least: CASH - C. Greatest: DOWN_AMT
Least: HOME - D. Greatest: MBA
Least: DOWN_AMT
正解：A
質問 # 16
Refer to the exhibit:
The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at
doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training
data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
- A. Model B It is simpler with a higher accuracy than model A on validation data.
- B. Model A It is more complex with a higher accuracy than model B on training data.
- C. Model B It is more complex with a higher accuracy than model A on validation data.
- D. Model A It performs better on the boundary for the training data.
正解：A
質問 # 17
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. Use subject matter expertise to combine stores that are similar.
- B. Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.
- C. Cluster by using Greenacre's method to combine stores that are similar.
- D. Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
正解：A、C
質問 # 18
Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?
- A. SBC
- B. Brier Score
- C. Max EDF
- D. KS
正解：A
質問 # 19
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. There is no ability to compare the effectiveness of different cleansing methods.
- C. It requires extra computational effort and time.
- D. It omits the training (and test) data sets from the benefits of the cleansing methods.
正解：B
質問 # 20
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. There is no ability to compare the effectiveness of different cleansing methods.
- C. It requires extra computational effort and time.
- D. It omits the training (and test) data sets from the benefits of the cleansing methods.
正解：B
質問 # 21
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. Logit link (log (p/1-p))
- C. Rank-ordered values of the variables
- D. Concordant and discordant pairs of ranked observations
正解：C
質問 # 22
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 training data set?
- A. To reduce total sample size to make computations more efficient.
- B. To build the predictive models.
- C. To provide an unbiased measure of assessment for the final model.
- D. To compare models and select and fine-tune the final model.
正解：C
質問 # 23
Which of the following describes a concordant pair of observations in the LOGISTIC procedure?
- A. An observation with the event has an equal predicted probability as the observation without the event.
- B. An observation with the event has an equal probability as another observation with the event.
- C. An observation with the event has a higher predicted probability than the observation without the event
- D. An observation with the event has a lower predicted probability than the observation without the event.
正解：C
質問 # 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. OUTCORR=estimates
- B. OUTP=estimates
- C. OUTPUT=estimates
- D. OUTSTAT=estimates
正解：B
質問 # 25
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. 0.5663
- B. 0.0819
- C. -1.0415
- D. -3.7727
正解：C
質問 # 26
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
- A. Training: 50% Validation: 50% Testing: 0%
- B. Training: 50% Validation: 0% Testing: 50%
- C. Training: 0% Validation: 100% Testing: 0%
- D. Training: 100% Validation: 0% Testing: 0%
正解：A
質問 # 27
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.
正解：A、D
質問 # 28
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 C
- B. Option B
- C. Option A
- D. Option D
正解：B、C
質問 # 29
SIMULATION
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.
正解：
解説：
7
質問 # 30
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