100% Pass Quiz SASInstitute - A00-240 - SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Perfect Lead2pass Review

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SASInstitute A00-240 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Logistic Regression	25%	- Build models using PROC LOGISTIC - Select and optimize input variables - Score new datasets with LOGISTIC and PLM - Interpret odds ratios and model coefficients
Topic 2: Prepare Inputs for Predictive Modeling	20%	- Identify data preparation challenges - Transform categorical variables - Manipulate data using DATA step - Screen variables with CORR procedure and empirical logit plots
Topic 3: Analysis of Variance (ANOVA)	10%	- Analyze factor interactions - Perform post-hoc tests - Assess ANOVA assumptions - Use PROC GLM for ANOVA
Topic 4: Measure and Evaluate Model Performance	25%	- Create and interpret ROC, lift, and gains charts - Determine optimal decision cut-off values - Apply honest assessment principles - Validate models with training/validation data - Use confusion matrices and classification metrics
Topic 5: Linear Regression	20%	- Interpret REG, GLM, and PLM procedure output - Conduct residual and diagnostic analysis - Perform model selection with GLMSELECT - Fit multiple linear regression models

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q23-Q28):

NEW QUESTION # 23
This question will ask you to provide a missing option.
Given the following SAS program:

What option must be added to the program to obtain a data set containing Spearman statistics?

A. OUTCORR=estimates
B. OUTPUT=estimates
C. OUT=estimates
D. OUTS=estimates

Answer: B

NEW QUESTION # 24
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?

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

Answer: D

Explanation:
Explanation/Reference:

NEW QUESTION # 25
Refer to the following odds ratio table:

What is a correct interpretation of the estimate?

A. The probability of the event is 1.142 greater for each one dollar increase in salary.
B. The odds of the event are 1.142 greater for each one dollar increase in salary.
C. The probability of the event is 1.142 greater for each one thousand dollar increase in salary.
D. The odds of the event are 1.142 greater for each one thousand dollar increase in salary.

Answer: D

NEW QUESTION # 26
Refer to the REG procedure output:

The Intercept estimate is interpreted as:

A. The predicted value of the response when all predictors are at their minimum values.
B. The predicted value of the response when all the predictors are at their current values.
C. The predicted value of the response when all predictors are at their means.
D. The predicted value of the response when all predictors = 0.

Answer: D

NEW QUESTION # 27
Refer to the REG procedure output:

Click on the calculator button to display a calculator if needed.

A. 0.4115
B. 0.1372
C. 0.6994
D. 0.5884

Answer: A

NEW QUESTION # 28
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