Simple Linear Regression Models
This class 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
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