UIUC - Data Modeling and Regression Analysis in Business 

Welcome to Data Modeling and Regression Analysis in Business

Rattle Installation Guidelines for Windows

R and Rattle Installation Instructions for Mac OS

Overview of Rattle

Lecture 1-1: Introduction to Analytics and Evolution of Statistical Inference

Lecture 1-2: From Data to Decisions

Lecture 1-3: The Evolution of Intelligent Machines

Lecture 1-4: Common Paradigms

Lecture 1-5-1: Examples of Paradigms -Part 1

Lecture 1-5-2: Examples of Paradigms -Part 2

Lecture 1-6: Introduction to Rattle

Lecture 1-7: Importing Datasets in Rattle

Lecture 1-8: Plotting Data and Creating Graphs in Rattle

Lecture 1-9: Rattle Practice and Summary

Syllabus

About the Discussion Forums

Glossary

Brand Descriptions

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Module 0 Agenda

Rattle Tutorials (Interface, Windows, Mac)

Frequent Asked Questions

Module 1 Overview

Module 1 Readings, Data Sets, and Slides

Module 1 Peer Review Assignment Answer Key

Orientation Quiz

Module 1 Graded Quiz

Lecture 2-1: Explanatory Modeling Overview

Lecture 2-2: Developing and Estimating a Model

Lecture 2-3: Univariate and Bivariate Plots

Lecture 2-4: Bivariate Correlation

Lecture 2-5-1: Estimating With Simple Models - Part 1

Lecture 2-5-2: Estimating With Simple Models - Part 2

Lecture 2-6: Improving the Model

Lecture 2-7: Model Improvement Practice and Summary

Module 2 Overview

Module 2 Readings, Data Sets, and Slides

Module 2 Peer Review Assignment Answer Key

Module 2 Practice Problems

Module 2 Graded Quiz

Lecture 3-1: Model Development Overview

Lecture 3-2: Introducing Root Mean Square Error

Lecture 3-3: Variable Selection

Lecture 3-4: Variable Selection with R Scripts

Lecture 3-5: Introduction to Mallow's CP

Lecture 3-6-1: Modeling Example -Part 1

Lecture 3-6-2: Modeling Example -Part 2

Lecture 3-7: Example Wrap-Up and Summary

Module 3 Overview

Module 3 Readings, Data Sets, and Slides

Module 3 Peer Review Assignment Answer Key

Module 3 Practice Problems (A)

Module 3 Practice Problems (B)

Module 3 Graded Quiz

Lecture 4-1: Data Types, Data Organization, and Data Modality

Lecture 4-2: Curse of Dimensionality

Lecture 4-3: Limitations of Scatterplots

Lecture 4-4: Principle Component Analysis

Lecture 4-5: Principle Component Analysis in Rattle

Lecture 4-6: Principle Component Analysis in Rattle With Regression

Lecture 4-7: Principle Component Analysis Exercise and Summary

Module 4 Overview

Module 4 Readings, Data Sets, and Slides

Module 4 Peer Review Assignment Answer Key

Module 4 Practice Problems

Module 4 Graded Quiz