In: Math
Customer | Number of cases | Delivery Time |
1 | 52 | 32.1 |
2 | 64 | 34.8 |
3 | 73 | 36.2 |
4 | 85 | 37.8 |
5 | 95 | 37.8 |
6 | 103 | 39.7 |
7 | 116 | 38.5 |
8 | 121 | 41.9 |
9 | 143 | 44.2 |
10 | 157 | 47.1 |
11 | 161 | 43 |
12 | 184 | 49.4 |
13 | 202 | 57.2 |
14 | 218 | 56.8 |
15 | 243 | 60.6 |
16 | 254 | 61.2 |
17 | 267 | 58.2 |
18 | 275 | 63.1 |
19 | 287 | 65.6 |
20 | 298 | 67.3 |
Management of a soft-drink bottling company wants to develop a method for allocating delivery costs to customers. Although one cost clearly relates to travel times within a particular route, another variable cost reflects the time required to unload the cases of soft drink at the delivery point. A sample of 20 deliveries within a territory was selected. The delivery time and the number of cases delivered were recorded. Develop a regression model to predict delivery time based on the number of cases delivered. Use the least-square method to calculate the regression coefficients, b0 and b1. Showing all formulas and equations a) Write your regression equation. b) Determine the coefficient of determination, r2, and explain it meaning in this problem. c) Perform a residual analysis. Is there any evidence of patterns in the residuals? Explain.