Part 2: Using SAS for Business Analytics
by Shailendra Kadre, Venkat Reddy Konasani
Practical Business Analytics Using SAS: A Hands-on Guide
- Cover
- Title
- Copyright
- Dedication
- Contents at a Glance
- Contents
- About the Authors
- Acknowledgments
- Preface
- Part 1: Basics of SAS Programming for Analytics
- Chapter 1: Introduction to Business Analytics and Data Analysis Tools
- Chapter 2: SAS Introduction
- Chapter 3: Data Handling Using SAS
- Chapter 4: Important SAS Functions and Procs
- Part 2: Using SAS for Business Analytics
- Chapter 5: Introduction to Statistical Analysis
- Chapter 6: Basic Descriptive Statistics and Reporting in SAS
- Chapter 7: Data Exploration, Validation, and Data Sanitization
- Data Exploration Steps in a Statistical Data Analysis Life Cycle
- Need for Data Exploration and Validation
- Issues with the Real-World Data and How to Solve Them
- Understanding and Preparing the Data
- Data Exploration, Validation, and Sanitization Case Study: Credit Risk Data
- Importing the Data
- Step 1: Data Exploration and Validation Using the PROC CONTENTS
- Step 2: Data Exploration and Validation Using Data Snapshot
- Step 3: Data Exploration and Validation Using Univariate Analysis
- Step 4: Data Exploration and Validation Using Frequencies
- Step 5: The Missing Value and Outlier Treatment
- Conclusion
- Chapter 8: Testing of Hypothesis
- Chapter 9: Correlation and Linear Regression
- What Is Correlation?
- Pearson’s Correlation Coefficient (r)
- Variance and Covariance
- Correlation Matrix
- Calculating Correlation Coefficient Using SAS
- Correlation Limits and Strength of Association
- Properties and Limitations of Correlation Coefficient (r)
- Some Examples on Limitations of Correlation
- Correlation vs. Causation
- Correlation Example
- Correlation Summary
- Linear Regression
- Simple Linear Regression
- When Linear Regression Can’t Be Applied
- Simple Regression: Example
- Conclusion
- What Is Correlation?
- Chapter 10: Multiple Regression Analysis
- Chapter 11: Logistic Regression
- Predicting Ice-Cream Sales: Example
- Nonlinear Regression
- Logistic Regression
- Logistic Regression Using SAS
- SAS Logistic Regression Output Explanation
- Individual Impact of Independent Variables
- Goodness of Fit for Logistic Regression
- Prediction Using Logistic Regression
- Multicollinearity in Logistic Regression
- Logistic Regression Final Check List
- Loan Default Prediction Case Study
- Conclusion
- Chapter 12: Time-Series Analysis and Forecasting
- Chapter 13: Introducing Big Data Analytics
- Index
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