7. The equation of the regression line is given byA. y = −116.01 + 0.12xB. y = 1321.32 − 7.64xC. y = 116.01 + 0.12xD. y = 7.64x + 1321.32 An important application of regression analysis is in the estimation of cost. Bycollecting data on volume and cost and using the least squares method todevelop an estimated regression equation relating volume and cost, one canestimate the cost associated with a particular manufacturing volume. Considerthe following sample of monthly production volumes and total costs data for amanufacturing operation for the year 2018.MonthProduction Volume (units)Total Costs ($)January 2018February 20185006,0003504,000March 20184505,000April 2018May 20185505,4006005,900June 20184004,000July 2018August 2018September 20184004,2003503,9004004,300October 20186006,000November 20187006,400December 20187507,000

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Answered: 7. The equation of the regression line…

7. The equation of the regression line is given by A. y = −116.01 + 0.12x B. y = 1321.32 − 7.64x C. y = 116.01 + 0.12x D. y = 7.64x + 1321.32

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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