A least squares regression line was calculated to relate the length (cm) of newborn boys to their weight in kg. The line is \[\hat{\text{weight}} = -5.25 + 0.1696 \times \text{length}\]A newborn was 48 cm long and weighed 3 kg. According to the regression model, what was his residual? What does that say about him?

We have given the line weight weight = -5.25 + 0.1696 *lengthThe length of newborn is 48 cmThe…

Answered: A least squares regression line was…

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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A least squares regression line was calculated to relate the length (cm) of newborn boys to their weight in kg. The line is weight=−5.82+0.1601 length. A newborn was 48 cm long and weighed 3 kg. According to the regression model, what was his residual? What does that say about him?
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A least squares regression line was calculated to relate the length (cm) of newborn boys to their weight in kg. The line is weight = -5.25 +0.1696 length. A newborn was 48 cm long and weighed 3 kg. According to the regression model, what was his residual? What does that say about him?