How to Prepare For A00-240 SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Exam?

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SASInstitute A00-240 Exam Syllabus Topics:

Section	Objectives
ANOVA and General Linear Models	- GLM procedures in SAS - One-way and multi-way ANOVA
Model Diagnostics and Validation	- Goodness-of-fit measures - Influence and leverage
Logistic Regression	- Model fit and diagnostics - Binary logistic regression
Multiple Regression	- Model building and selection - Interaction effects - Multicollinearity diagnostics
Simple Linear Regression	- Estimation and inference - Residual analysis - Model assumptions and interpretation

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q82-Q87):

NEW QUESTION # 82
A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for
each sale.
What is the profit matrix for a typical person in the population?

A. Option D
B. Option C
C. Option B
D. Option A

Answer: B

NEW QUESTION # 83
A marketing analyst assessed the effect of web page design (A, B, or C) on customers' intent to purchase an expensive product. The focus group was divided randomly into three sub-groups, each of which was asked to view one of the web pages and then give their intent to purchase on a scale from 0 to 100. The analyst also asked the customers to give their income, which was coded as: I (lowest), II (medium), or III (highest). After analyzing the data, the analyst claimed that there was significant interaction and the webpage design mainly influenced high income people.
Which graph supports the analyst's conclusion?

Answer: D

NEW QUESTION # 84
Screening for non-linearity in binary logistic regression can be achieved by visualizing:

A. A box plot of the odds ratio values versus a predictor variable.
B. A trend plot of empirical logit versus a predictor variable.
C. A logistic regression plot of predicted probability values versus a predictor variable.
D. A scatter plot of binary response versus a predictor variable.

Answer: B

NEW QUESTION # 85
What is the default method in the LOGISTIC procedure to handle observations with missing data?

A. Parameter estimates are made on all available data.
B. Parameters are estimated accounting for the missing values.
C. Missing values are imputed.
D. Only cases with variables that are fully populated are used.

Answer: D

NEW QUESTION # 86
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?

A. Average Squared Error
B. Adjusted R Square
C. Chi Square
D. Mallow's Cp

Answer: A

NEW QUESTION # 87
......

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