Lecture6_R2_F_ANOVA-2012

Lecture6_R2_F_ANOVA-2012 - Lecture 6 Stat102 2012 Assessing...

Info icon This preview shows pages 1–8. Sign up to view the full content.

View Full Document Right Arrow Icon
1 Lecture 6 Stat102 2012 Assessing the importance of having a sloped regression line (Chapter 3.4) R squared ANOVA table F-test NOTE: Your book titles this section: “Assessing the fit of the regression line”. But it’s not really about how well the regression line fits. I t’s really about how much better a sloped line fits than does a horizontal one.
Image of page 1

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

View Full Document Right Arrow Icon
2 Example: College Contribution Rate Data: For a sample of major American Colleges & Universities, x = student /faculty ratio Y = % of alumni who contribute to the institution Giving Rate = 53.01 - 2.057 Stud/Fac Ratio Darker pt is U of Penn. Which school do you think is at Y =68%? Which one is at x = 23 and Y = 19%? How well does the L-S line fit the data? NOTE: Really should say: How much better does it fit than does a horizontal line ?” 0 10 20 30 40 50 60 70 Alumni Giving Rate 5 10 15 20 25 Student/Faculty Ratio
Image of page 2