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Find the least square regression line in the form of y =mx +b for the three non-collinear points (3, -5), (4, -3), and (-1, -4). (a) Find the least square function of m and b to be minimized. (b) Find the critical points of the function in part (a). (c) Give the linear regression line y= mx +b.

Find the least square regression line in the form of y =mx +b for the three non-collinear points (3, -5), (4, -3), and (-1, -4). (a) Find the least square function of m and b to be minimized. (b) Find the critical points of the function in part (a). (c) Give the linear regression line y= mx +b.

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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Find the least square regression line in the form of y mx+bfor the three non-collinear points (3, -5), (4, -3), and (-1, -4). (a) Find the least square function of m and b to be minimized. (b) Find the critical points of the function in part (a). (c) Give the linear regression line y = mx +b.
Transcribed Image Text:Find the least square regression line in the form of y mx+bfor the three non-collinear points (3, -5), (4, -3), and (-1, -4). (a) Find the least square function of m and b to be minimized. (b) Find the critical points of the function in part (a). (c) Give the linear regression line y = mx +b.
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