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A00-240權威考題，Sasinstitute A00-240考試指南 & SAS Certified Statistical Business Analyst Using SAS 9: Regression And Modeling Credential - Royalholidayclubbed
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我們的SASInstitute A00-240權威考題題庫是由專業的IT團隊以最好的技術水準制作而得到的學習資料，其中整合最新的A00-240權威考題考試問題得到而來，以確保您購買我們的題庫資料是真實有效的，即使是新手也可以快速輕松獲得SASInstitute A00-240權威考題認證。對于如此有效的考古題，趕快加入購物車吧！付款之后您就可以立即下載所購買的A00-240權威考題題庫，這將會讓您在您的考試中獲得高分，并順利的通過A00-240權威考題考試。
你用過Royalholidayclubbed的A00-240權威考題考古題嗎？這個考古題是最近剛更新的資料，包括了真實考試中可能出現的所有問題，保證你一次就可以通過考試。這個考古題可以讓你看到你意想不到的成果。
A00-240 PDF DEMO:
QUESTION NO: 1
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. Fit - Mean and Residual Plot
C. Cook's D by Observation
D. Residual by Predicted
Answer: C
QUESTION NO: 2
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
A. Training: 0% Validation: 100% Testing: 0%
B. Training: 50% Validation: 50% Testing: 0%
C. Training: 50% Validation: 0% Testing: 50%
D. Training: 100% Validation: 0% Testing: 0%
Answer: B
QUESTION NO: 3
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
QUESTION NO: 4
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: 5
Refer to the exhibit:
Based upon the comparative ROC plot for two competing models, which is the champion model and why?
A. Candidate 2, because the area under 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 1, because the area outside the curve is greater
Answer: A
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Updated: May 28, 2022
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