3-3 - M arch 3, 2011 Thursday Regression yi= 0+ 1xi+ i i ~...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
March 3, 2011 Thursday Regression = + + yi β0 β1xi εi ~ ( , ) εi N 0 σ2 Assumptions: 1. Normal distribution 2. Constant Variance 3. Independence 4. Correct Form Fit X by Y / Fit polynomial / 2, quadratic First thing you should do after fitting, Polynomial fit / plot a residual If there is no constant variance , then it will be megaphone shape or pattern
Background image of page 1

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

View Full DocumentRight Arrow Icon
Background image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 10/03/2011 for the course STAT 511 taught by Professor Eggett,d during the Winter '08 term at BYU.

Page1 / 2

3-3 - M arch 3, 2011 Thursday Regression yi= 0+ 1xi+ i i ~...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online