SASInstitute A00-240 問題集

質問 1：
PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:

At Step 9 number of at bats (nAtBat) was removed from the model.
Why was it removed?
A. The p-Value for nAtBat was largest.
B. The p-Value for nAtBat was smallest.
C. Removing nAtBat had the largest effect on the parameter estimate of nHits.
D. Removing nAtBat yielded the largest improvement to SBC.
正解：A

質問 2：
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 it shows less over fit than Candidate 1
C. Candidate 1, because it is closer to the diagonal reference curve
D. Candidate 2, because the area under the curve is greater
正解：D

質問 3：
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 are too many observations in the data.
B. There is collinearity among the predictors.
C. There are missing values in the data.
D. There is quasi-complete separation in the data.
正解：D

質問 4：
The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?
A. Score data=MYDIR, NEW DATA out=scores;
B. Score data data=MYDIR.NEW_DATA out=scores;
C. Score data data=MYDIR.NEW_DATA output=scores;
D. Score data=HYDIR.NEU_DATA output=scores;
正解：A

質問 5：
Refer to the exhibit:

On the Gains Chart, what is the correct interpretation of the horizontal reference line?
A. the prior event rate
B. the probability of a false positive
C. the proportion of cases that cannot be classified
D. the probability of a false negative
正解：D

質問 6：
The total modeling data has been split into training, validation, and test data.
What is the best data to use for model assessment?
A. Validation data
B. Test data
C. Training data
D. Total data
正解：A

質問 7：
Refer to the exhibit:

An analyst examined logistic regression models for predicting whether a customer would make a purchase.
The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule,
25% of the customers who did not make a purchase are incorrectly classified as purchasers.
What can be concluded from the graph?
A. About 50% of the customers who did make a purchase are correctly classified as making a purchase.
B. About 25% of the customers who did make a purchase are correctly classified as making a purchase.
C. About 85% of the customers who did make a purchase are correctly classified as making a purchase.
D. About 95% of the customers who did make a purchase are correctly classified as making a purchase.
正解：C

質問 8：
A linear model has the following characteristics:
* A dependent variable (y)
* One continuous variable (x1)
* One categorical (1 with 3 levels) predictor variable and an interaction term (1 by x1) How many parameters, including the intercept, will be estimated for this model?
正解：
Enter your numeric answer in the space below.
7

質問 9：
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 thousand dollar increase in salary.
B. The probability of the event is 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 odds of the event are 1.142 greater for each one dollar increase in salary.
正解：A