SASInstitute A00-240 Actual Free Exam Questions & Community Discussion
Select the equivalent LOGISTIC procedure model statements. (Choose two.)
Correct Answer: A,D
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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?
* 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?
Correct Answer:
Enter your numeric answer in the space below.
7
7
Refer to the REG procedure output:
The Intercept estimate is interpreted as:
The Intercept estimate is interpreted as:
Correct Answer: A
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Refer to the exhibit.
Output from a multiple linear regression analysis is shown.
What is the most appropriate statement concerning collinearity between the input variables?
Output from a multiple linear regression analysis is shown.
What is the most appropriate statement concerning collinearity between the input variables?
Correct Answer: B
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Refer to the confusion matrix:
Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome) Click the calculator button to display a calculator if needed.
Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome) Click the calculator button to display a calculator if needed.
Correct Answer: A
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What is the default method in the LOGISTIC procedure to handle observations with missing data?
Correct Answer: D
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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.)
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.)
Correct Answer: A,B
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While building a predictive model, median imputations are performed while preparing the training data.
How should the imputations be addressed in the validation data?
How should the imputations be addressed in the validation data?
Correct Answer: C
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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 dependent variable (y)
* Three continuous predictor variables (x1-x3)
* One categorical predictor variable (c1 with 3 levels)
Which SAS program fits this model?
Correct Answer: B
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Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?
Correct Answer: C
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