When the least squares method was used to fit a simple linear regression equation to a set of paired data (xi, yi), treating x as the independent variable, the following equation was obtained. y = 2.8 + x. When y was taken as the independent variable, the same data yielded the equation х 3-1.1 у. Then find, if possible, the mean of the y; values of the data considered. O Not possible to uniquely determine from the given data. O 2.0500 O 1.4000 O 2.7619

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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When the least squares method was used to fit a simple linear regression equation to a set of paired data (xj, yi), treating x
as the independent variable, the following equation was obtained.
y = 2.8 + x.
When y was taken as the independent variable, the same data yielded the equation
x = 3 - 1.1 y.
Then find, if possible, the mean of the y; values of the data considered.
O Not possible to uniquely determine from the given data.
O 2.0500
O 1.4000
O 2.7619
Transcribed Image Text:When the least squares method was used to fit a simple linear regression equation to a set of paired data (xj, yi), treating x as the independent variable, the following equation was obtained. y = 2.8 + x. When y was taken as the independent variable, the same data yielded the equation x = 3 - 1.1 y. Then find, if possible, the mean of the y; values of the data considered. O Not possible to uniquely determine from the given data. O 2.0500 O 1.4000 O 2.7619
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