he management of Lindiwe Accounting Services are concerned about the increase in overtime hours clocked by their senior staff over the past six months of 2022. As the company’s cost accountant, they have assigned you the task of coming up with a reliable way to predict overtime hours and costs for senior staff in the next six months of 2022. You have decided to use linear regression to solve the problem. You have also recorded the following monthly figures for the past six months of 2022. Month Overtime hours Total cost (R) January 478 41 000 February 322 32 000 March 405 37 000 April 308 28 200 May 505 43 500 June 308 29 600 Required: Construct a linear regression equation that your company management can use to predict overtime hours in the future (round all answers to two decimals)
he management of Lindiwe Accounting Services are concerned about the increase in overtime hours clocked by their senior staff over the past six months of 2022. As the company’s cost accountant, they have assigned you the task of coming up with a reliable way to predict overtime hours and costs for senior staff in the next six months of 2022. You have decided to use linear regression to solve the problem. You have also recorded the following monthly figures for the past six months of 2022. Month Overtime hours Total cost (R) January 478 41 000 February 322 32 000 March 405 37 000 April 308 28 200 May 505 43 500 June 308 29 600 Required: Construct a linear regression equation that your company management can use to predict overtime hours in the future (round all answers to two decimals)
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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he management of Lindiwe Accounting Services are concerned about the increase in overtime hours clocked by their senior staff over the past six months of 2022. As the company’s cost accountant, they have assigned you the task of coming up with a reliable way to predict overtime hours and costs for senior staff in the next six months of 2022. You have decided to use linear regression to solve the problem. You have also recorded the following monthly figures for the past six months of 2022. Month Overtime hours Total cost (R) January 478 41 000 February 322 32 000 March 405 37 000 April 308 28 200 May 505 43 500 June 308 29 600 Required: Construct a linear regression equation that your company management can use to predict overtime hours in the future (round all answers to two decimals)
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