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Given are five observations for two variables, x and y. 1 2 3 4 5 3 7 5 11 14 Xi Yi

Given are five observations for two variables, x and y. 1 2 3 4 5 3 7 5 11 14 Xi Yi

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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The image presents a table with five observations for two variables, \( x \) and \( y \). The table is structured as follows: - The first row lists values for \( x_i \): 1, 2, 3, 4, 5. - The second row lists corresponding values for \( y_i \): 3, 7, 5, 11, 14.
Transcribed Image Text:The image presents a table with five observations for two variables, \( x \) and \( y \). The table is structured as follows: - The first row lists values for \( x_i \): 1, 2, 3, 4, 5. - The second row lists corresponding values for \( y_i \): 3, 7, 5, 11, 14.
d. Develop the estimated regression equation by computing the values of \( b_0 \) and \( b_1 \) using equations (14.6) and (14.7) (to 1 decimal). \[ \hat{y} = 7.6 + 0.9x \] e. Use the estimated regression equation to predict the value of \( y \) when \( x = 4 \) (to 1 decimal). \[ \hat{y} = 11.2 \]
Transcribed Image Text:d. Develop the estimated regression equation by computing the values of \( b_0 \) and \( b_1 \) using equations (14.6) and (14.7) (to 1 decimal). \[ \hat{y} = 7.6 + 0.9x \] e. Use the estimated regression equation to predict the value of \( y \) when \( x = 4 \) (to 1 decimal). \[ \hat{y} = 11.2 \]
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