This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: EXAM I STUDY GUIDE – STAT 326 Below is a study guide for material covered on Exam 1. Formulas available to you on the Exam are given on the corresponding Formula sheet. 1. Inference for Simple Linear Regression, Section 10.1, 10.2 10.3 (partially) in the text book (a) Regression model for population μ y = β + β 1 x (b) Fitted least squares regression line (aka prediction line) estimated from data ˆ y = b + b 1 x (c) Interpretation of b and b 1 as well as of β and β 1 (interpretations within the context of the problem ) (d) Confidence interval for population slope β 1 i. b i ± t * SE b i ii. Standard error SE b of estimated intercept b iii. Standard error SE b 1 of estimated slope b 1 iv. Use Table D with df = n 2 to obtain t * v. Interpretation of CI vi. Knowing how to read JMP output (e) Hypothesis testing for a significant linear relationship i. Hypothesis A. H : β 1 = 0 (no linear relationship) B. H a : β 1 6 = 0 (a linear relationship) β 1 < 0, or β 1 > 0 for onesided alternatives...
View
Full
Document
This note was uploaded on 08/01/2011 for the course STAT 326 taught by Professor Genschel during the Spring '08 term at Iowa State.
 Spring '08
 GENSCHEL
 Statistics, Linear Regression

Click to edit the document details