Table of Contents
Simple Linear Regression Models
Overview
Simple Linear Regression Models
Definition of a Good Model
Estimation of Model Parameters
Derivation of Regression Parameters
Allocation of Variation
Standard Deviation of Errors
Confidence Intervals for Regression Params
Case Study 14.1: Remote Procedure Call
Confidence Intervals for Predictions
Visual Tests for Regression Assumptions
1. Linear Relationship: Visual Test
2. Independent Errors: Visual Test
3. Normally Distributed Errors: Test
4. Constant Standard Deviation of Errors
Summary
Exercise 14.1
Exercise 14.2
Exercise 14.3
Exercise 14.4
Exercise 14.5
Exercise 14.6
Exercise 14.7 |
Author:
Raj Jain
Home Page:
http://www.cse.wustl.edu/~jain/
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