Il faut une bonne préparation et aussi une série de connaissances professionnelles complètes pour réussir le test SASInstitute A00-240. La ressourece providée par Pass4Test peut juste s'accorder votre demande.
Choisissez le Pass4Test, choisissez le succès. Le produit offert par Pass4Test vous permet à réussir le test SASInstitute A00-240. C'est necessaire de prendre un test simulation avant participer le test réel. C'est une façon bien effective. Choisir Pass4Test vous permet à réussir 100% le test.
Pass4Test est un site de vous ramener au succès. Pass4Test peut vous aider à promouvoir les connaissances essentielles pour le test SASInstitute A00-240 et passer le test à la première fois.
Le test SASInstitute A00-240 est test certification très répandu dans l'industrie IT. Vous pourriez à améliorer votre niveau de vie, l'état dans l'industrie IT, etc. C'est aussi un test très rentable, mais très difficile à réussir.
Code d'Examen: A00-240
Nom d'Examen: SASInstitute (SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential)
Questions et réponses: 65 Q&As
A00-240 Démo gratuit à télécharger: http://www.pass4test.fr/A00-240.html
NO.1 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 examen A00-240 examen A00-240 examen
NO.2 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.3 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 examen A00-240 examen A00-240 examen A00-240 A00-240 examen
NO.4 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
SASInstitute A00-240 A00-240 A00-240 examen A00-240 examen
NO.5 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 certification A00-240 A00-240
NO.6 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
certification SASInstitute A00-240 examen A00-240 A00-240
NO.7 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 A00-240 A00-240 examen A00-240 A00-240
NO.8 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 certification A00-240 A00-240 A00-240 examen
NO.9 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 A00-240 A00-240 examen A00-240 examen certification A00-240
Pass4Test a une grande équipe composée des experts d'expérience dans l'industrie IT. Leurs connaissances professionnelles et les recherches font une bonne Q&A, qui vous permet à passer le test SASInstitute A00-240. Dans Pass4Test, vous pouvez trouver une façon plus convenable à se former. Les resources de Pass4Test sont bien fiable. Choisissez Pass4Test, choisissez un raccourci à réussir le test SASInstitute A00-240.
没有评论:
发表评论