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i: 1 2 3 4 5 6 7 16 3 21 8 X12: Y;: 33 41 49 5 31 42 33 75 28 16 55 ssion model (6.1) with independent normal error terms is otain (a) b; (b) e; (c) H; (d) SSR; (e) s²{b}; (f ) Ý¡ when X1 = 10, X2 app kl = = 30. 4-

i: 1 2 3 4 5 6 7 16 3 21 8 X12: Y;: 33 41 49 5 31 42 33 75 28 16 55 ssion model (6.1) with independent normal error terms is otain (a) b; (b) e; (c) H; (d) SSR; (e) s²{b}; (f ) Ý¡ when X1 = 10, X2 app kl = = 30. 4-

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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In a small-scale regression study, the following data were obtained: i: 1 2 3 4 5 6 7 4 16 3 21 8 33 41 49 5 31 X12: Y;: 7 42 33 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 ) Ÿ¡ when X1 (g) s²{Ÿà} when Xµ1 = 10, X62 = 30; = 10, X2 = 30.
Transcribed Image Text:In a small-scale regression study, the following data were obtained: i: 1 2 3 4 5 6 7 4 16 3 21 8 33 41 49 5 31 X12: Y;: 7 42 33 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 ) Ÿ¡ when X1 (g) s²{Ÿà} when Xµ1 = 10, X62 = 30; = 10, X2 = 30.
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