Question 3 Verstappen Motor Holdings is preparing its budget for the year ended 31 March 2022. The following information for the last six months has been prepared: Month April May June July August September REQUIRED: Cars Sold 20 40 25 34 45 42 Warranty claim expenses R 12 000 15 800 12 600 14 400 16 000 20 000 Q.3.1 Estimate the fixed and variable components of the warranty expenses, using the above data, by applying the least squares regression method. Round to the nearest whole number. The regression equations to be used are as follows: Σy = na + bEx Exy = ax + bx²
Question 3 Verstappen Motor Holdings is preparing its budget for the year ended 31 March 2022. The following information for the last six months has been prepared: Month April May June July August September REQUIRED: Cars Sold 20 40 25 34 45 42 Warranty claim expenses R 12 000 15 800 12 600 14 400 16 000 20 000 Q.3.1 Estimate the fixed and variable components of the warranty expenses, using the above data, by applying the least squares regression method. Round to the nearest whole number. The regression equations to be used are as follows: Σy = na + bEx Exy = ax + bx²
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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