Answered: Residual analysis is important when…

Residual analysis is important when studying the potential for linear regression because it allows for assumptions to be ignored for a time while graphs are created. O True False

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

Residual analysis is important when studying the potential for linear regression because it allows for assumptions to be ignored for a time while graphs are created.

- ○ True
- ○ False

Expert Solution

Step 1

Residuals analysis in linear regression:

Residuals may be defined as the difference between the obtained value and true value of dependent variable. The residual analysis is a useful tool to examine the goodness of the fitted model. It helps in examining the goodness of model by defining residual. It is also useful in evaluation of residual graph.

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