# 2/8/2021

## Questions from Chapter 0

## Chapter 1 - Simple Linear Regression - See Sec1.1R and Sec1.2-3R

- Review of simple linear regression
- Purpose
- Functional versus statistical relationship
- Formal Model
- Method of Least Squares
- Assumptions
- Normality
- Independence
- Homogeneity of variance

- Estimation of variability about the regression line
- Residuals
- Residual = observed - predicted

- MSE

- Assessing the fit
- Residual plots (used to check assumptions)
- Plot residuals against explanatory variable and other available variables
- Construct a normal probability plot for the residuals

## Examples with R

- Open GoogleDrive\Stat206-S2021\2eMarkkdown\Sec1.1.Rmd
- Open GoogleDrive\Stat206-S2021\2eMarkkdown\Sec1.2-3.Rmd

## Other Examples with R (from the first edition) - use them as additional practice

- Open GoogleDrive\Stat206-S2021\!Class Material\Chapter1.Rmd
- Open GoogleDrive\Stat206-S2021\!Class Material\SimpleLinearRegression.Rmd (Pulls data from the P:\ drive at Kenyon)

## In class exercises

## Please complete your reading of Chapter 1 for class on Wednesday.