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1. The date below are to be used to predict y from x. 1 4 Xi 4 3 3 4 yi 16 12 17 13 22 Assume that first-order regression techniques is applicable. Use matrix methods to find: (x" x)' a. b. Vector of estimated regression coefficients c. Point estimate for E{Yn} when Xh = 4. d. Estimated variance ofh when Xh = 4. e. 95% confidence interval for the predicted mean Y; when Xh = 4. %3D 6, 3. 2.

1. The date below are to be used to predict y from x. 1 4 Xi 4 3 3 4 yi 16 12 17 13 22 Assume that first-order regression techniques is applicable. Use matrix methods to find: (x" x)' a. b. Vector of estimated regression coefficients c. Point estimate for E{Yn} when Xh = 4. d. Estimated variance ofh when Xh = 4. e. 95% confidence interval for the predicted mean Y; when Xh = 4. %3D 6, 3. 2.

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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1. The date below are to be used to predict y from x. i 1 4 5 Xi 4 3 3 4 yi 16 12 17 13 22 Assume that first-order regression techniques is applicable. Use matrix methods to find: a. b. Vector of estimated regression coefficients c. Point estimate for E{Yn} when Xh = 4. d. Estimated variance of h when Xh = 4. e. 95% confidence interval for the predicted mean Y¡ when X = 4. %3D 3. 2.
Transcribed Image Text:1. The date below are to be used to predict y from x. i 1 4 5 Xi 4 3 3 4 yi 16 12 17 13 22 Assume that first-order regression techniques is applicable. Use matrix methods to find: a. b. Vector of estimated regression coefficients c. Point estimate for E{Yn} when Xh = 4. d. Estimated variance of h when Xh = 4. e. 95% confidence interval for the predicted mean Y¡ when X = 4. %3D 3. 2.
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