Chapter 8 - Chapter 8 Linear Regression ActivStats: 8-1 to...

This preview shows pages 1–4. Sign up to view the full content.

Chapter 8 – Linear Regression ActivStats: 8-1 to 8-4 Read: Chapter 8 Linear regression model is a model of a relationship beween two variables x, and y Response = linear function of x + Error y = b o + b 1 x + Error b o and b 1 are parameters of the model Goal: Estimate b o and b 1 and the regression line x b b y 1 0 ˆ + = Method: Least squares regression line – the line that minimizes the sum of squared vertical distances between points on the scatterplot and the line.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Computation: x b b y 1 0 ˆ + = x y s s r b = 1 x b y b 1 0 - = where x is the mean of x y is the mean of y x s is the standard deviation of x y s is the standard deviation of y r is the correlation coefficient (in regression

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 07/25/2008 for the course STT 200 taught by Professor Dikong during the Summer '08 term at Michigan State University.

Page1 / 4

Chapter 8 - Chapter 8 Linear Regression ActivStats: 8-1 to...

This preview shows document pages 1 - 4. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online