A00-240 Detail Explanation & Latest Test A00-240 Experience

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SASInstitute A00-240 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Measure Model Performance	25%	- Performance Visualization 1. Create and interpret lift charts 2. Create and interpret ROC charts 3. Create and interpret gains charts - Decision Optimization 1. Establish effective decision cutoff values 2. Evaluate scoring strategies - Model Assessment 1. Apply principles of honest assessment 2. Assess classifier performance using confusion matrices - Validation and Selection 1. Compare and select predictive models 2. Perform model validation using training and validation data
Topic 2: ANOVA	10%	- ANOVA Analysis 1. Analyze differences between population means using GLM and TTEST procedures 2. Detect and analyze factor interactions 3. Evaluate treatment effects 4. Perform post hoc tests - ANOVA Concepts and Assumptions 1. Identify appropriate ANOVA methods 2. Verify ANOVA assumptions
Topic 3: Prepare Inputs for Predictive Model Performance	20%	- Variable Engineering and Screening 1. Improve predictive power of categorical variables 2. Identify nonlinear associations using CORR procedure 3. Use empirical logit plots for nonlinearity detection 4. Screen variables for irrelevance - Data Preparation 1. Identify challenges in preparing model input data 2. Use loops, arrays, functions and conditional statements 3. Manipulate data using DATA step programming
Topic 4: Logistic Regression	25%	- Interpret and Deploy Models 1. Interpret LOGISTIC procedure output 2. Score new data sets using LOGISTIC and PLM procedures - Develop Logistic Models 1. Perform logistic regression using the LOGISTIC procedure 2. Optimize model performance through input selection
Topic 5: Linear Regression	20%	- Interpret Regression Results 1. Interpret REG, PLM and GLM output 2. Evaluate parameter estimates - Build Regression Models 1. Use REG and GLM procedures 2. Fit multiple linear regression models - Model Selection and Diagnostics 1. Conduct residual and diagnostic analysis 2. Perform model selection using REG or GLMSELECT 3. Assess model validity

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Latest Test A00-240 Experience - A00-240 Reliable Test Notes

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q70-Q75):

NEW QUESTION # 70
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?

A. Specificity and PV
B. Sensitivity and PV+
C. PV+ and PV
D. Sensitivity and Specificity

Answer: D

NEW QUESTION # 71
The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

A. Score data=MYDIR, NEW DATA out=scores;
B. Score data=HYDIR.NEU_DATA output=scores;
C. Score data data=MYDIR.NEW_DATA out=scores;
D. Score data data=MYDIR.NEW_DATA output=scores;

Answer: A

NEW QUESTION # 72
The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

A. Score data=MYDIR, NEW DATA out=scores;
B. Score data=HYDIR.NEU_DATA output=scores;
C. Score data data=MYDIR.NEW_DATA out=scores;
D. Score data data=MYDIR.NEW_DATA output=scores;

Answer: A

NEW QUESTION # 73
Refer to the exhibit.

Output from a multiple linear regression analysis is shown.
What is the most appropriate statement concerning collinearity between the input variables?

A. Collinearity is a problem since all Pr>|t| values are less than 0.05.
B. Collinearity is a problem since all variance inflation values are less than 10.
C. Collinearity is not a problem since all variance inflation values are less than 10.
D. Collinearity is not a problem since all Pr>|t| values are less than 0.05.

Answer: D

NEW QUESTION # 74
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 B
B. Option C
C. Option D
D. Option A

Answer: A,D

NEW QUESTION # 75
......

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