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

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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
Cars Sold
20
40
25
34
45
42
Warranty claim expenses
R
12 000
15 800
12 600
14 400
16 000
20 000
REQUIRED:
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 + b[x²
Transcribed Image Text: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 Cars Sold 20 40 25 34 45 42 Warranty claim expenses R 12 000 15 800 12 600 14 400 16 000 20 000 REQUIRED: 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 + b[x²
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