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A00-240 PDF DEMO:
QUESTION NO: 1 Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable? A. Chi Square B. Adjusted R Square C. Mallow's Cp D. Average Squared Error Answer: D
QUESTION NO: 2 This question will ask you to provide missing code segments. A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event. Given the following SAS program: What X and Y values should be added to the program to correctly score the data? A. X=40, Y=10 B. X=.10, Y=05 C. X=.05, Y=10 D. X=.05, Y=.40 Answer: C
QUESTION NO: 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. New cases with missing values on input variables cannot be scored without extra data processing. B. Complete case analysis means that fewer observations will be used in the model building process. C. The model will likely be overfit. D. There will be a high rate of collinearity among input variables. Answer: A,B
QUESTION NO: 4 What does the Pearson product moment correlation coefficient measure? A. linear and nonmonotonic association between two variables B. nonlinear and nonmonotonic association between two variables C. nonlinear and monotonic association between two variables D. linear and monotonic association between two variables Answer: D
QUESTION NO: 5 Refer to the confusion matrix: Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome) A. Accuracy = 83/150, Error Rate = 67/150 B. Accuracy = 58/102, Error Rate = 23/48 C. Accuracy = 25/150, Error Rate = 44/150 D. Accuracy = 83/102, Error Rate = 67/102 Answer: B
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Updated: May 28, 2022
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A00-240 PDF DEMO:
QUESTION NO: 1 Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable? A. Chi Square B. Adjusted R Square C. Mallow's Cp D. Average Squared Error Answer: D
QUESTION NO: 2 This question will ask you to provide missing code segments. A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event. Given the following SAS program: What X and Y values should be added to the program to correctly score the data? A. X=40, Y=10 B. X=.10, Y=05 C. X=.05, Y=10 D. X=.05, Y=.40 Answer: C
QUESTION NO: 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. New cases with missing values on input variables cannot be scored without extra data processing. B. Complete case analysis means that fewer observations will be used in the model building process. C. The model will likely be overfit. D. There will be a high rate of collinearity among input variables. Answer: A,B
QUESTION NO: 4 What does the Pearson product moment correlation coefficient measure? A. linear and nonmonotonic association between two variables B. nonlinear and nonmonotonic association between two variables C. nonlinear and monotonic association between two variables D. linear and monotonic association between two variables Answer: D
QUESTION NO: 5 Refer to the confusion matrix: Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome) A. Accuracy = 83/150, Error Rate = 67/150 B. Accuracy = 58/102, Error Rate = 23/48 C. Accuracy = 25/150, Error Rate = 44/150 D. Accuracy = 83/102, Error Rate = 67/102 Answer: B
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Developing your niche is very easy in the presence of the A00-240 - SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Test Vce dumps. Our Goldmile-Infobiz team devote themselves to studying the best methods to help you pass Valid A00-240 Study Materials exam certification. From the time when you decide whether to purchase our Valid A00-240 Study Materials exam software or not, we have provided you with comprehensive guarantees, including free demo download before buying, payment guarantee in purchase process, one-year free update service after you purchased Valid A00-240 Study Materials exam software, and full refund guarantee of dump cost if you fail Valid A00-240 Study Materials exam certification, which are all our promises to ensure customer interests.
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The latest A00-240 Test Vce dumps collection covers everything you need to overcome the difficulty of real questions and certification exam. Accurate A00-240 Test Vce test answers are tested and verified by our professional experts with the high technical knowledge and rich experience. You may get answers from other vendors, but our A00-240 Test Vce briandumps pdf are the most reliable training materials for your exam preparation.
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A00-240 PDF DEMO:
QUESTION NO: 1 Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable? A. Chi Square B. Adjusted R Square C. Mallow's Cp D. Average Squared Error Answer: D
QUESTION NO: 2 This question will ask you to provide missing code segments. A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event. Given the following SAS program: What X and Y values should be added to the program to correctly score the data? A. X=40, Y=10 B. X=.10, Y=05 C. X=.05, Y=10 D. X=.05, Y=.40 Answer: C
QUESTION NO: 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. New cases with missing values on input variables cannot be scored without extra data processing. B. Complete case analysis means that fewer observations will be used in the model building process. C. The model will likely be overfit. D. There will be a high rate of collinearity among input variables. Answer: A,B
QUESTION NO: 4 What does the Pearson product moment correlation coefficient measure? A. linear and nonmonotonic association between two variables B. nonlinear and nonmonotonic association between two variables C. nonlinear and monotonic association between two variables D. linear and monotonic association between two variables Answer: D
QUESTION NO: 5 Refer to the confusion matrix: Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome) A. Accuracy = 83/150, Error Rate = 67/150 B. Accuracy = 58/102, Error Rate = 23/48 C. Accuracy = 25/150, Error Rate = 44/150 D. Accuracy = 83/102, Error Rate = 67/102 Answer: B
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