Overview
The template form is attached in the file I uploaded.
Instructions
The compressive strength of a rivet fastener used in an aircraft panel assembly is being studied by the manufacturing operations team. Ten (10) loads reviewed over a period of time and a number of fasteners were tested against identified load specifications. The failures were reported in the table shown below.
| Load, x (PSI) | Sample Size, n | Number Failing, r |
| 2500 | 50 | 10 |
| 2700 | 70 | 17 |
| 2900 | 100 | 30 |
| 3100 | 60 | 21 |
| 3300 | 40 | 18 |
| 3500 | 85 | 43 |
| 3700 | 90 | 54 |
| 3900 | 50 | 33 |
| 4100 | 80 | 60 |
| 4300 | 65 | 51 |
Develop a regression model for the data. Determine the predictor and response variables necessary to draw a meaningful inference about the data. What does the coefficient of determination tell you here? What does the correlation coefficient tell you here? Based on the regression model, is it adequate? Are there any conclusions and recommendations you can derive from this data?
Be sure to use the template I attached