Suppose that a multiple linear regression model was fit to data and that the following output resulted:Coefficients:(Intercept)exam1exam2attendanceEstimate20.001.3002.5000.685Std. Error4.2910.2610.2745.608t value-4.6604.9819.124 0.122Pr(>|t|)<0.0001<0.0001<0.00010.9032Perform a backwards selection process. Select the variable that would be removed first from the model. The significance level is 0.05 for testing purposes. attendanceexam2exam1

Solution Given Coefficients: (Intercept)exam1exam2attendance Estimate20.001.3002.5000.685 Std.…

Answered: Perform a backwards selection process.…

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

Section5.6: Higher-degree Polynomials And Rational Functions

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

Coefficients:
(Intercept) exam1 exam2 attendance	Estimate 20.00 1.300 2.500 0.685	Std. Error 4.291 0.261 0.274 5.608	t value -4.660 4.981 9.124 0.122	Pr(>\|t\|) <0.0001 <0.0001 <0.0001 0.9032

Perform a backwards selection process. Select the variable that would be removed first from the model. The significance level is 0.05 for testing purposes.

attendance

exam2

exam1

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