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* Instead of slope, intercept, and standard error, show the final fitted equation and coefficient of determination (R²) ** DO repeat the problem with x and y reversed and interpret the results.

* Instead of slope, intercept, and standard error, show the final fitted equation and coefficient of determination (R²) ** DO repeat the problem with x and y reversed and interpret the results.

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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17.3

Instead of slope, intercept, and standard error, show the final fitted equation and coefficient of determination (R?) ** DO repeat the problem with x and y reversed and interpret the results.
Transcribed Image Text:Instead of slope, intercept, and standard error, show the final fitted equation and coefficient of determination (R?) ** DO repeat the problem with x and y reversed and interpret the results.
17.3 Use least-squares regression to fit a straight line to 2 4 6 9 11 12 15 17 19 6 7 6 5 8 7 10 12 12 Along with the slope and intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the regression line. Then repeat the problem, but regress x versus y– that is, switch the variables. Interpret your results.
Transcribed Image Text:17.3 Use least-squares regression to fit a straight line to 2 4 6 9 11 12 15 17 19 6 7 6 5 8 7 10 12 12 Along with the slope and intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the regression line. Then repeat the problem, but regress x versus y– that is, switch the variables. Interpret your results.
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