This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: Degrees of freedom. 7. 2-= n SSE s Standard error. 8. SST SSR r = 2 ; 2 r r + = r-squared, the proportion of the variability in y explained by x. 9. xx b SS x n s s 2 1 + = ; xx b SS s s = 1 Standard error of the estimate b , and standard error of the estimate 1 b . 10. b s b t = ; 1 1 b s b t = t for testing significance of the y-intercept; t for testing significance of the slope. 1 11. ) ( ) ( SSR df SSR R MS = ; ) ( ) ( SSE df SSE E MS = Mean square regression; mean square error. 12. ) ( ) ( E MS R MS F = Test of the model. 13. xx SS x x n 2 ) ( 1-+ Distance Value. 14. ceValue Dis s s y tan = ; ceValue Dis s s y y tan 1 ) ( + =-A measure of the distance between the value x of x and x . 15. y s t y 2 ; ) ( 2 y y s t y- Confidence Interval; Prediction Interval 2...
View Full Document
This note was uploaded on 10/08/2011 for the course STATISTIC GM533 taught by Professor Henry during the Spring '10 term at Keller Graduate School of Management.
- Spring '10