Suppose that a multiple linear regression model was fit to data and that the following output resulted: Coefficients:(Intercept)ageheightforearmEstimate10.14882 0.06045-0.02108-0.06479Std. Error4.492450.068380.063500.06847t value 2.2590.884-0.332-0.946Pr(>|t|)0.02640.37920.74080.3467True or False? If we were to perform a backwards selection process on this data set, the first to be removed is forearm since it has the smallest p-value. TrueFalse

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

Answered: Suppose that a multiple linear…

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

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

Coefficients:
(Intercept) age height forearm	Estimate 10.14882 0.06045 -0.02108 -0.06479	Std. Error 4.49245 0.06838 0.06350 0.06847	t value 2.259 0.884 -0.332 -0.946	Pr(>\|t\|) 0.0264 0.3792 0.7408 0.3467

True or False? If we were to perform a backwards selection process on this data set, the first to be removed is forearm since it has the smallest p-value.

True

False

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