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質問 # 47
The selection criterion used in the forward selection method in the REG procedure is:
- A. Mallows' Cp
- B. Adjusted R-Square
- C. AIC
- D. SLE
正解:D
質問 # 48
Given the following GLM procedure output: Which statement is correct at an alpha level of 0.05?
- A. School should be removed because it is significant.
- B. Gender should be removed because it is non-significant.
- C. School*Gender should be removed because it is non-significant.
- D. Gender should not be removed due to its involvement in the significant interaction.
正解:D
質問 # 49
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. Randomly combine the stores into five groups to keep the stochastic variation among the observations
intact. - D. Use subject matter expertise to combine stores that are similar.
正解:B、D
質問 # 50
Refer to the exhibit.
These graphs were created using the GLM procedure with the plots(only)=diagnostics option.
Which plot do you use to identify influential observations?
- A. Residual by Quantile
- B. Cook's D by Observation
- C. Fit - Mean and Residual Plot
- D. Residual by Predicted
正解:B
質問 # 51
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 D
- C. Option C
- D. Option B
正解:D
質問 # 52
The PROC LOGISTIC options SELECTION=SCORE and BEST=2 are used in a MODEL statement to generate a series of predictive models. The models are assigned numbers in order from 1 to 99 reflecting the fact that there are 50 candidate input variables. Results from the collection of derived models are used to generate the following plot of overall average profit by model number. Results are restricted to models with at least 9 inputs and at most 40 inputs.
The maximum value for the training data occurs for model number 46, and the maximum value for the validation data occurs for model number 43.
If you base model selection solely on overall average profit, what is the correct choice?
- A. Select model 46
- B. Select model 45
- C. Select model 21
- D. Select model 43
正解:D
質問 # 53
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. RunTime
- B. Age Weight RunTime RunPulse MaxPulse
- C. Age Weight RunTime RunPulse RestPulse MaxPulse
- D. RestPulse
正解:B
質問 # 54
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. Regions with higher average purchases have more high value customers.
- B. Regions with higher average purchases have more medium value customers.
- C. The difference between average purchases for medium and high value customers depends on the
region. - D. More high value customers are found in some regions than others.
正解:C
質問 # 55
Refer to the exhibit:
Which SAS program produced the graph?
- A. Option A
- B. Option D
- C. Option C
- D. Option B
正解:D
質問 # 56
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 D
- C. Option C
- D. Option B
正解:D
質問 # 57
Consider scoring new observations in the SCORE procedure versus the SCORE statement in the
LOGISTIC procedure.
Which statement is true?
- A. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the
SCORE procedure returns only predicted logits. - B. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE
procedure returns only predicted probabilities. - C. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both
predicted probabilities and predicted logits. - D. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same
output.
正解:A
質問 # 58
A linear model has the following characteristics:
A dependent variable (y)
Three continuous predictor variables (x1-x3)
One categorical predictor variable (c1 with 3 levels)
Which SAS program fits this model?
- A. Option A
- B. Option D
- C. Option C
- D. Option B
正解:B
質問 # 59
This question will ask you to provide a missing option.
A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in viewing the regression equation parameter estimates for each of the design variables.
Which option completes the program to produce the regression equation parameter estimates?
Solve
- A. Solution
- B. Est
- C. Estimate
- D.
正解:B
解説:
Explanation/Reference: https://documentation.sas.com/?
docsetId=statug&docsetTarget=statug_ods_examples06.htm&docsetVersion=14.3&locale=en
質問 # 60
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. There is no significant difference due to wrist size.
- C. Medium wrist size is significantly different than small wrist size.
- D. Large wrist size is significantly different than medium wrist size.
正解:A
質問 # 61
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. Coeff Var
- B. R-Square
- C. Adj R-Sq
- D. Error DF
正解:C
質問 # 62
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: MBA
Least: DOWN_AMT - B. Greatest: DOWN_AMT
Least: CASH - C. Greatest: MBA
Least: CASH - D. Greatest: DOWN_AMT
Least: HOME
正解:B
質問 # 63
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. Option A
- B. Option D
- C. Option C
- D. Option B
正解:A、D
質問 # 64
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 B It is more complex with a higher accuracy than model A on validation data.
- C. Model A It is more complex with a higher accuracy than model B on training data.
- D. Model A It performs better on the boundary for the training data.
正解:A
質問 # 65
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 rerun the LOGISTIC procedure.
- C. Augment the training data set with new observations and set their responses to missing.
- D. Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the
SCORE procedure.
正解:B
質問 # 66
Refer to the ROC curve:
As you move along the curve, what changes?
- A. The priors in the population
- B. The proportion of events in the training data
- C. The true negative rate in the population
- D. The probability cutoff for scoring
正解:D
質問 # 67
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