Exercise 5A-5 (Algo) Least-Squares Regression [LO5-11]
George Caloz & Frères, located in Grenchen, Switzerland, makes luxury custom watches in small lots. One of the company’s products, a platinum diving watch, goes through an etching process. The company has recorded etching costs as follows over the last six weeks:
Week | Units | Total Etching Cost | ||||||
1 | 5 | $ | 22 | |||||
2 | 7 | 21 | ||||||
3 | 10 | 25 | ||||||
4 | 5 | 20 | ||||||
5 | 16 | 28 | ||||||
6 | 17 | 32 | ||||||
60 | $ | 148 | ||||||
For planning purposes, management would like to know the variable etching cost per unit and the total fixed etching cost per week.
Exercise 5A-5 Part 2 (Algo)
1-a. Using the least-squares regression method, estimate the variable etching cost per unit and the total fixed etching cost per week.
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1-b.
Express these estimates in the form Y = a + bX. (Round your answers to 2 decimal places.)
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2c. If the company processes fourteen units next week, what would be the expected total etching cost? (Round your intermediate calculations and final answer to 2 decimal places.)
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1-a.
Week | X (units) | Y ($) | X² | XY |
1 | 5 | 22 | 25 | 110 |
2 | 7 | 21 | 49 | 147 |
3 | 10 | 25 | 100 | 250 |
4 | 5 | 20 | 25 | 100 |
5 | 16 | 28 | 256 | 448 |
6 | 17 | 32 | 289 | 544 |
60 | 148 | 744 | 1599 |
Variable cost per unit =
(6 * 1599) - (60 * 148) ÷ (6 * 744) - 60²
= (9594 - 8880) ÷ (4464 - 3600)
= 714 ÷ 864
= $ 0.826
Fixed cost = 148 - ( 0.826 × 60) /6
= 98.44 /6
= $16.40
1.b. Y = a + bx
Y = 98.44 + 0.82x
2. C
If the company produces 14 units then the expected total etching cost will be
98.44 + 0.82 × 14
= 109.92
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