Select all the statements that are true of a least-squares regression line. R measures how much of the variation in Y is explained by X in the estimated linear regression. The regression line is used to predict nonlinear patterns. In the equation of the least-squares regression line, Y is a predicted value when X is known. The slope of the regression line is resistant to outliers. The sum of the squares of the residuals is the smallest sum possible. In the equation of the least-squares regression line, Ý is an observed value when X is known.
Select all the statements that are true of a least-squares regression line. R measures how much of the variation in Y is explained by X in the estimated linear regression. The regression line is used to predict nonlinear patterns. In the equation of the least-squares regression line, Y is a predicted value when X is known. The slope of the regression line is resistant to outliers. The sum of the squares of the residuals is the smallest sum possible. In the equation of the least-squares regression line, Ý is an observed value when X is known.
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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