In: Accounting
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George Caloz & Frères, located in Grenchen, Switzerland, makes prestige high-end custom watches in small lots. One of the company’s products, a platinum diving watch, goes through an etching process. The company has observed etching costs as follows over the last six weeks: |
| Week | Units | Total Etching Cost | |||||
| 1 | 14 | $ | 27 | ||||
| 2 | 11 | $ | 20 | ||||
| 3 | 16 | $ | 30 | ||||
| 4 | 10 | $ | 20 | ||||
| 5 | 12 | $ | 25 | ||||
| 6 | 15 | $ | 28 | ||||
| 78 | $ | 150 | |||||
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For planning purposes, management would like to know the amount
of variable etching cost |
| Required: |
| 1. |
Prepare a scattergraph plot. (Place etching costs on the
vertical axis and units on the horizontal |
| Instructions: | |
| 1. | On the graph below, use the point tool (Week 1) to plot units on the horizontal axis and total etching cost on the vertical axis. |
| 2. | Repeat the same process for the plotter tools (Week 2 to Week 6). |
| 3. | To enter exact coordinates, click on the point and enter the values of x and y. |
| 4. | To remove a point from the graph, click on the point and select delete option. |
| 2(a). | Using the least-squares regression method, estimate the
variable and fixed elements of etching cost. (Round your answers to 2 decimal places.) |
| 2(b). | Express the cost data in (2a) above in the form Y = a + bX. (Round your answers to 2 decimal places.) |
| 3. |
If the company processes thirteen units next week, what would be the expected total etching cost? (Round your intermediate and final answers to 2 decimal places.) |

| 2(a). | ||||||||
| Week | Units (X) | Total Etching Cost Y) | ||||||
| 1 | 14 | $ 27.00 | ||||||
| 2 | 11 | $ 20.00 | ||||||
| 3 | 16 | $ 30.00 | ||||||
| 4 | 10 | $ 20.00 | ||||||
| 5 | 12 | $ 25.00 | ||||||
| 6 | 15 | $ 28.00 | ||||||
| 78 | $ 150.00 | |||||||
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.966987557 | |||||||
| R Square | 0.935064935 | |||||||
| Adjusted R Square | 0.918831169 | |||||||
| Standard Error | 1.195228609 | |||||||
| Observations | 6 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 1 | 82.2857143 | 82.2857143 | 57.6 | 0.00161674 | |||
| Residual | 4 | 5.71428571 | 1.42857143 | |||||
| Total | 5 | 88 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept = Fixed cost | 2.714285714 | 2.97666663 | 0.91185412 | 0.41342975 | -5.5502658 | 10.9788372 | -5.5502658 | 10.9788372 |
| X Variable 1 = Units | 1.714285714 | 0.22587698 | 7.58946638 | 0.00161674 | 1.08715069 | 2.34142074 | 1.08715069 | 2.34142074 |
| b) | ||||||||
| Y = a + bX. | ||||||||
| Y = 2.71 + 1.71 X | ||||||||
| c) | ||||||||
| Expected total etching cost = $2.71 + $1.71 x 13 units | $ 25.00 | |||||||
2)