Question:

A glass bottle manufacturing company has recorded data on the average number of defects per 10,000 bottles due to stones (small pieces of rock embedded in the bottle wall) and the number of weeks since the last furnace overhauled. The data are shown below.

Defects per 10,000 Weeks

--------------------------- ----------

13.0 4

16.1 5

14.5 6

17.8 7

22.0 8

27.4 9

16.8 10

34.2 11

65.6 12

49.2 13

66.2 14

81.2 15

87.4 16

114.5 17

1. Fit a straight-line regression model to the data and perform the standard tests for model adequacy.
2. Suggest an appropriate transformation to eliminate the problems encountered in part a. Fit the transformed model and check for adequacy.

Price: $2.99

Solution: The downloadable solution consists of 6 pages
Deliverable: Word Document