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SASInstitute A00-240 exam study materials

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Exam Code: A00-240
Exam Name: SASInstitute (SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential)
One year free update, No help, Full refund!
Total Q&A: 65 Questions and Answers
Last Update: 2013-9-7 10:26:28

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NO.1 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.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

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NO.3 A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear
regression model.
What will be the result?
A. An increase in R-Square
B. A decrease in R-Square
C. A decrease in Mean Square Error
D. No change in R-Square
Answer: A

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NO.4 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

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NO.5 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

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NO.6 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

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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

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NO.8 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

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NO.9 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

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Posted 2013/8/26 22:43:09  |  Category: SASInstitute  |  Tag: SASInstituteA00-240