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SASInstitute A00-240 Exam Syllabus Topics:

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

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q77-Q82):

NEW QUESTION # 77
When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

A. The sample means from the validation data set are applied to the training and test data sets.
B. The sample means from each partition of the data are applied to their own partition.
C. The sample means from the test data set are applied to the training and validation data sets.
D. The sample means from the training data set are applied to the validation and test data sets.

Answer: D

NEW QUESTION # 78
Given the following output from the LOGISTIC procedure:

Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?

A. Greatest: DOWN_AMT Least: CASH
B. Greatest: MBA Least: DOWN_AMT
C. Greatest: MBA Least: CASH
D. Greatest: DOWN_AMT Least: HOME

Answer: A

NEW QUESTION # 79
Which of the following describes a concordant pair of observations in the LOGISTIC procedure?

A. An observation with the event has an equal probability as another observation with the event.
B. An observation with the event has an equal predicted probability as the observation without the event.
C. An observation with the event has a higher predicted probability than the observation without the event
D. An observation with the event has a lower predicted probability than the observation without the event.

Answer: C

NEW QUESTION # 80
Refer to the exhibit.

These graphs were created using the GLM procedure with the plots(only)=diagnosticsoption.
Which plot do you use to identify influential observations?

A. Cook's D by Observation
B. Fit - Mean and Residual Plot
C. Residual by Predicted
D. Residual by Quantile

Answer: A

Explanation:
Explanation/Reference: https://books.google.com.pk/books?id=fx77Pzerty8C&pg=PA279&lpg=PA279&dq=sas+statistical
+analysis+plot+do+you+use+to+identify+influential
+observations&source=bl&ots=AJavSAql_g&sig=ACfU3U0jbAa6lTWvSeSJ6y5bwp4osAyigA&hl=en&sa=X&ve d=2ahUKEwje34nyqajnAhXDThUIHUfUCj0Q6AEwEXoECAoQAQ#v=onepage&q=sas%20statistical%
20analysis%20plot%20do%20you%20use%20to%20identify%20influential%20observations&f=false

NEW QUESTION # 81
Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?

A. Brier Score
B. Max EDF
C. KS
D. SBC

Answer: C

NEW QUESTION # 82
......

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