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Use least-squares regression to fit a straight line to 1 3 4 6 7 8 y 1 1.5 2 3 4 8 10 13 a) Along with the slope and intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the straight line. Assess the fit. b) Recompute (a) but use polynomial regression to fit a parabola to the data. Compare the results with those of (a).

Use least-squares regression to fit a straight line to 1 3 4 6 7 8 y 1 1.5 2 3 4 8 10 13 a) Along with the slope and intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the straight line. Assess the fit. b) Recompute (a) but use polynomial regression to fit a parabola to the data. Compare the results with those of (a).

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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Use least-squares regression to fit a straight line to 1 2 3 4 5 6 7 8 9 y 1 1.5 2 3 4 5 8 10 13 a) Along with the slope and intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the straight line. Assess the fit. b) Recompute (a) but use polynomial regression to fit a parabola to the data. Compare the results with those of (a).
Transcribed Image Text:Use least-squares regression to fit a straight line to 1 2 3 4 5 6 7 8 9 y 1 1.5 2 3 4 5 8 10 13 a) Along with the slope and intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the straight line. Assess the fit. b) Recompute (a) but use polynomial regression to fit a parabola to the data. Compare the results with those of (a).
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