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

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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Question

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

Expert Solution

Step 1: Introduction

The regression is a method of machine learning under subgroup Supervised Learning. The regression helps to get the relation between the dependent and the independent variables.

The regression equation is obtained by using the given data is used to predict or forecast the values of new data. It can also be used for understanding and analyzing the relation between the variables.