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SASInstitute A00-240 Exam Syllabus Topics:

Section	Weight	Objectives
Analysis of Variance (ANOVA)	10%	- Assess ANOVA assumptions - Perform post-hoc tests - Analyze factor interactions - Use PROC GLM for ANOVA
Measure and Evaluate Model Performance	25%	- Apply honest assessment principles - Determine optimal decision cut-off values - Use confusion matrices and classification metrics - Create and interpret ROC, lift, and gains charts - Validate models with training/validation data
Logistic Regression	25%	- Select and optimize input variables - Score new datasets with LOGISTIC and PLM - Interpret odds ratios and model coefficients - Build models using PROC LOGISTIC
Prepare Inputs for Predictive Modeling	20%	- Manipulate data using DATA step - Transform categorical variables - Identify data preparation challenges - Screen variables with CORR procedure and empirical logit plots
Linear Regression	20%	- Fit multiple linear regression models - Perform model selection with GLMSELECT - Interpret REG, GLM, and PLM procedure output - Conduct residual and diagnostic analysis

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q74-Q79):

NEW QUESTION # 74
An analyst investigates Region (A, B, or C) as an input variable in a logistic regression model.
The analyst discovers that the probability of purchasing a certain item when Region = A is 1.
What problem does this illustrate?

A. Collinearity
B. Problems that arise due to missing values
C. Influential observations
D. Quasi-complete separation

Answer: D

NEW QUESTION # 75
Suppose training data are oversampled in the event group to make the number of events and non-events 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. Sensitivity
B. Depth
C. Positive predictive value
D. Specificity

Answer: A

NEW QUESTION # 76
An analyst compares the mean salaries of men and women working at a company.
The SAS data set SALARY contains variables:
-Gender (M or F) -Pay (dollars per year)
Which SAS programs can be used to find the p-value for comparing men's salaries with women's salaries? (Choose two.)

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

Answer: C,D

NEW QUESTION # 77
Which SAS program will detect collinearity in a multiple regression application?

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

Answer: D

NEW QUESTION # 78
Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

A. Candidate 2, because it shows less over fit than Candidate 1
B. Candidate 1, because the area outside the curve is greater
C. Candidate 2, because the area under the curve is greater
D. Candidate 1, because it is closer to the diagonal reference curve

Answer: C

NEW QUESTION # 79
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