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試験番号：A00-240 トレーニング資料試験科目：「SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential」
最近更新時間：2015-11-02
問題と解答：65
NO.1 The following LOGISTIC procedure output analyzes the relationship between a binary response
and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large
(L) as the reference level.
What is the estimated logit for a person with large wrist size?
Click the calculator button to display a calculator if needed.
A. 0.0819
B. 0.5663
C. -3.7727
D. -1.0415
Answer: D
SASInstitute認定テキスト A00-240種類 A00-240対応受験
NO.2 What is the default method in the LOGISTIC procedure to handle observations with missing
data?
A. Missing values are imputed.
B. Parameters are estimated accounting for the missing values.
C. Parameter estimates are made on all available data.
D. Only cases with variables that are fully populated are used.
Answer: D
SASInstituteサンプル問題集 A00-240認定 A00-240科目対策
NO.3 A linear model has the following characteristics:
*A dependent variable (y)
*One continuous variable (xl), including a quadratic term (x12)
*One categorical (d with 3 levels) predictor variable and an interaction term (d by x1)
How many parameters, including the intercept, are associated with this model?
Enter your numeric answer in the space below. Do not add leading or trailing spaces to your
answer.
Answer: 7
NO.4 This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM
procedure:
Means Region / <insert option here> =levene;
A. test
B. adjust
C. var
D. hovtest
Answer: D
SASInstitute認証 A00-240ファンデーション A00-240クラムメディア A00-240 A00-240
NO.5 In partitioning data for model assessment, which sampling methods are acceptable? (Choose
two.)
A. Simple random sampling without replacement
B. Simple random sampling with replacement
C. Stratified random sampling without replacement
D. Sequential random sampling with replacement
Answer: A,C
SASInstituteエンジン A00-240予想試験 A00-240 A00-240日本語版
NO.6 Suppose training data are oversampled in the event group to make the number of events and
nonevents
roughly equal. A logistic regression is run and the probabilities are output to a data set
NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if
probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates
whether there is an event (1=Event, 0= No event).
The following SAS program was used.
What does this program calculate?
A. Depth
B. Sensitivity
C. Specificity
D. Positive predictive value
Answer: B
試験番号 SASInstitute A00-240受験記 A00-240認定デベロッパー A00-240的中率
NO.7 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. More high value customers are found in some regions than others.
B. The difference between average purchases for medium and high value customers depends on
the region.
C. Regions with higher average purchases have more high value customers.
D. Regions with higher average purchases have more medium value customers.
Answer: B
SASInstitute A00-240暗記カード A00-240体験 A00-240成果物
NO.8 Refer to the exhibit:
The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?
A. Normality, because Prob > F < .0001.
B. Normality, because the interquartile ranges are different in different ad campaigns.
C. Constant variance, because Prob > F < .0001.
D. Constant variance, because the interquartile ranges are different in different ad campaigns.
Answer: D
SASInstitute実際試験 A00-240 vue A00-240キャッシュ
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