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2. Residuals Suppose you have fit a linear model to some data and now take a look at the residuals. For each of the following possible residuals plots, tell whether you would try a re-expression and, if so, why.

2. Residuals Suppose you have fit a linear model to some data and now take a look at the residuals. For each of the following possible residuals plots, tell whether you would try a re-expression and, if so, why.

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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Question #2 residuals.

Exercises Pesiduals Suppose you have fit a linear model to some e and now take a look at the residuals. For each of he following possible residuals plota, talk wether you () 2. Residuals Suppose you have fit a linear model to some data and now take a look at the residuals. For each of the following possible residuals plots, tell whether you would try a re-expression and, if so, why. U 3. Oakland passengers revisited In Chapter 8, Exercise 15, we created a linear model describing the trend in the amber of passengers departing from the Oakland (CA) alirport each month since the start of 1997. Here's the residual plot, but with lines added to show the order of the values in time:
Transcribed Image Text:Exercises Pesiduals Suppose you have fit a linear model to some e and now take a look at the residuals. For each of he following possible residuals plota, talk wether you () 2. Residuals Suppose you have fit a linear model to some data and now take a look at the residuals. For each of the following possible residuals plots, tell whether you would try a re-expression and, if so, why. U 3. Oakland passengers revisited In Chapter 8, Exercise 15, we created a linear model describing the trend in the amber of passengers departing from the Oakland (CA) alirport each month since the start of 1997. Here's the residual plot, but with lines added to show the order of the values in time:
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