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i 1 4 Xi 4 1 3 4 yi 16 12 17 13 22 Assume that first-order regression techniques is applicable. Use matrix methods to find: Use the same data set from problem #1. a. Obtain the residuals, e. What is the sum of the residuals? b. Obtain the residuals squared, e?. What is the sum of the squared 3. 3. 2. LO 2.

i 1 4 Xi 4 1 3 4 yi 16 12 17 13 22 Assume that first-order regression techniques is applicable. Use matrix methods to find: Use the same data set from problem #1. a. Obtain the residuals, e. What is the sum of the residuals? b. Obtain the residuals squared, e?. What is the sum of the squared 3. 3. 2. LO 2.

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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1 4 Xi 4 1 3 4 yi 16 12 17 13 22 Assume that first-order regression techniques is applicable. Use matrix methods to find: 2. Use the same data set from problem #1. a. Obtain the residuals, ej. What is the sum of the residuals? b. Obtain the residuals squared, e?. What is the sum of the squared residuals? c. Plot the residuals against the fitted values . Describe the shape of the plot and discuss what conclusions can be drawn from the plot? 3.
Transcribed Image Text:1 4 Xi 4 1 3 4 yi 16 12 17 13 22 Assume that first-order regression techniques is applicable. Use matrix methods to find: 2. Use the same data set from problem #1. a. Obtain the residuals, ej. What is the sum of the residuals? b. Obtain the residuals squared, e?. What is the sum of the squared residuals? c. Plot the residuals against the fitted values . Describe the shape of the plot and discuss what conclusions can be drawn from the plot? 3.
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