## Understanding the Estimated Regression EquationThe estimated regression equation for a model involving two independent variables and 10 observations is given by:\[\hat{y} = 22.1370 + 0.5303x_1 + 0.4920x_2\]### (a) Interpretation of Coefficients**Interpret \( b_1 \) in this estimated regression equation:**- \( b_1 = 0.5303 \) is an estimate of the change in \( y \) corresponding to a 1 unit change in \( x_1 \) when \( x_2 \) is held constant.- \( b_1 = 0.5303 \) is an estimate of the change in \( y \) corresponding to a 1 unit change in \( x_2 \) when \( x_1 \) is held constant.- \( b_1 = 22.1370 \) is an estimate of the change in \( y \) corresponding to a 1 unit change in \( x_2 \) when \( x_2 \) is held constant.- \( b_1 = 0.4920 \) is an estimate of the change in \( y \) corresponding to a 1 unit change in \( x_2 \) when \( x_1 \) is held constant.- \( b_1 = 0.4920 \) is an estimate of the change in \( y \) corresponding to a 1 unit change in \( x_1 \) when \( x_2 \) is held constant.**Interpret \( b_2 \) in this estimated regression equation:**- \( b_2 = 0.4920 \) is an estimate of the change in \( y \) corresponding to a 1 unit change in \( x_2 \) when \( x_1 \) is held constant.- \( b_2 = 22.1370 \) is an estimate of the change in \( y \) corresponding to a 1 unit change in \( x_2 \) when \( x_2 \) is held constant.- \( b_2 = 0.5303 \) is an estimate of the change in \( y \) corresponding to a 1 unit change in \( x_1 \) when \( x_2 \) is held constant.- \( b_2 = 0

The regression equation is as follows:

Answered: The estimated regression equation for a…

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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