Describe the explained variation about a regression line in words and in symbols.Choose the correct answer below.A. The explained variation is the sum of the squares of the differences between the predictedy-values and the mean of the y-values of the ordered pairs.(Xị, V;).B. The explained variation is the sum of the squares of the differences between the y-values ofeach ordered pair and the mean of the y-values of the ordered pairs.(x;, ỹ)C. The explained variation is the sum of the squares of the differences between the observedy-values and the predicted y-values.y = y

Explained deviation: The sum of the squares of the explained deviation values is termed as the…

Describe the explained variation about a regression line in words and in symbols. Choose the correct answer below. O A. The explained variation is the sum of the squares of the differences between the predicted y-values and the mean of the y-values of the ordered pairs. (xị, Y;) • O B. The explained variation is the sum of the squares of the differences between the y-values of each ordered pair and the mean of the y-values of the ordered pairs. (x;, ỹ) OC. The explained variation is the sum of the squares of the differences between the observed y-values and the predicted y-values. y = ỹ

Describe the explained variation about a regression line in words and in symbols. Choose the correct answer below. O A. The explained variation is the sum of the squares of the differences between the predicted y-values and the mean of the y-values of the ordered pairs. (xị, Y;) • O B. The explained variation is the sum of the squares of the differences between the y-values of each ordered pair and the mean of the y-values of the ordered pairs. (x;, ỹ) OC. The explained variation is the sum of the squares of the differences between the observed y-values and the predicted y-values. y = ỹ

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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