Simple Linear Regression Models
This lecture covers the following topics:
- 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
Presentation slides in Adobe Acrobat Format:
1 slide/page (358,788 bytes)
Slides+Audio (
Part 1,
Part 2
)
Right click and save to download
Slides+Audio (
Part 1,
Part 2
) podcast.
Frequently asked questions about remote audio/video viewing
Back to other lectures of the series
Complete List of Audio/Video Lectures by Raj Jain
Back to Raj Jain's Home Page