Consider the soft drink delivery time data in Table 2.10. After examining the original regression model (Example 2.9), one analyst claimed that the model was invalid because the intercept was not zero. He argued that if zero caseswere delivered, the time to stock and service the machine would be zero, and the straight-line model should go through the origin. What would you say in response to his comments? Fit a no-intercept model to these data and determine which model is superior.

Table 2.10

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Times, y (minutes) 10.15 Cases Stocked, x 25 6 2.96 3.00 8 6.88 17 0.28 2 5.06 13 9.14 11.86 11.69 23 30 28 6.04 14 7.57 19 1.74 4 9.38 24 0.16 1 1.84 5