Question: A glass bottle manufacturing company has recorded data on the average number of defects per 100,000 bottles due to stones (small pieces of rock embedded in the bottle wall) and the number of weeks since the last furnace overhaul. The data are shown in Pr 3 Excel file.

1. Fit regression model. Plot Y observations against fitted values. Perform a thorough analysis to determine if the response function provides a good fit.
2. Is the model adequate? If not, then analyze if it is possible to obtain a model that is adequate.
3. Best fitted model that is adequate, analyze and interpret the results.
4. Best fitted model in original units

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Solution: The downloadable solution consists of 4 pages
Deliverable: Word Document