Suppose that a multiple linear regression model was fit to data and that the following output resulted:Coefficients:(Intercept)stop distancempgweightEstimate8.63315-0.06078 -0.037930.17295Std. Error5.916410.073680.086610.08165t value1.459-0.825 -0.438 2.118Pr(>|t|)0.14820.41170.66260.0371True or False? It is likely that at least one explanatory variable would be left in our model if a backwards selection process were performed. (Our significance level is 0.05 for all testing purposes.) TrueFalse

The regression is a method of machine learning under subgroup Supervised Learning. The regression…

Answered: Suppose that a multiple linear…

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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Suppose that a multiple linear regression model was fit to data and that the following output resulted:

Coefficients:
(Intercept) stop distance mpg weight	Estimate 8.63315 -0.06078 -0.03793 0.17295	Std. Error 5.91641 0.07368 0.08661 0.08165	t value 1.459 -0.825 -0.438 2.118	Pr(>\|t\|) 0.1482 0.4117 0.6626 0.0371

True or False? It is likely that at least one explanatory variable would be left in our model if a backwards selection process were performed. (Our significance level is 0.05 for all testing purposes.)

True

False

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