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Using the table above, find the equation of a line of the data by using the two data points (1, 1) and (9,5). Now, find the equation of a line of the data using the two data points (2,3) and (6,4). Lastly, calculate the sum of the residuals squared of both lines.

Using the table above, find the equation of a line of the data by using the two data points (1, 1) and (9,5). Now, find the equation of a line of the data using the two data points (2,3) and (6,4). Lastly, calculate the sum of the residuals squared of both lines.

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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We have yet another fictitious survey which recorded the relationship between the number of days spent running 10 kilometres and the weight loss in kilograms. The data is found in Table 1.2. # of days running Weight loss (kg) 1 1 2 3 5 6 7 9 7 4 4 5 Metric # of days mean # of days standard deviation Weight loss mean Weight loss standard deviation T Result 5 3 4 2 0.62642 Table 1.2: The relationship between running 10km and losing weight in kg.
Transcribed Image Text:We have yet another fictitious survey which recorded the relationship between the number of days spent running 10 kilometres and the weight loss in kilograms. The data is found in Table 1.2. # of days running Weight loss (kg) 1 1 2 3 5 6 7 9 7 4 4 5 Metric # of days mean # of days standard deviation Weight loss mean Weight loss standard deviation T Result 5 3 4 2 0.62642 Table 1.2: The relationship between running 10km and losing weight in kg.
Using the table above, find the equation of a line of the data by using the two data points (1, 1) and (9,5). Now, find the equation of a line of the data using the two data points (2,3) and (6,4). Lastly, calculate the sum of the residuals squared of both lines.
Transcribed Image Text:Using the table above, find the equation of a line of the data by using the two data points (1, 1) and (9,5). Now, find the equation of a line of the data using the two data points (2,3) and (6,4). Lastly, calculate the sum of the residuals squared of both lines.
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