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all-scale regression Study, the following data were obtained: i: 2 3 4 5 7 4 16 3 21 X12: Y;: 33 41 7 49 5 42 33 75 28 91 e that regression model (6.1) with independent normal error terms is methods, obtain (a) b; (b) e; (c) H; (d) SSR; (e) s²{b}; (f ) În when X, } when X = 10, Xp2 = 30. %3D

all-scale regression Study, the following data were obtained: i: 2 3 4 5 7 4 16 3 21 X12: Y;: 33 41 7 49 5 42 33 75 28 91 e that regression model (6.1) with independent normal error terms is methods, obtain (a) b; (b) e; (c) H; (d) SSR; (e) s²{b}; (f ) În when X, } when X = 10, Xp2 = 30. %3D

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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6.27. In a small-scale regression study, the following data were obtained: i: 2 3 4 5 6 Xn: X12: Y;: 7 4 16 3 21 8 41 33 33 7 49 5 31 42 75 28 91 55 Assume that regression model (6.1) with independent normal error terms is appropriate. Using matrix methods, obtain (a) b; (b) e; (c) H; (d) SSR; (e) s² {b}; (f ) Ýn when Xp1 = 10, X42 = 30; (g) s²{Ýn} when Xµ1 = 10, Xp2 = 30.
Transcribed Image Text:6.27. In a small-scale regression study, the following data were obtained: i: 2 3 4 5 6 Xn: X12: Y;: 7 4 16 3 21 8 41 33 33 7 49 5 31 42 75 28 91 55 Assume that regression model (6.1) with independent normal error terms is appropriate. Using matrix methods, obtain (a) b; (b) e; (c) H; (d) SSR; (e) s² {b}; (f ) Ýn when Xp1 = 10, X42 = 30; (g) s²{Ýn} when Xµ1 = 10, Xp2 = 30.
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