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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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