Technicians measure heat flux as part of a solar thermal energy test. An energy engineer wants to determine how total heat flux is predicted by other variables: insolation, the position of the east, south, and north focal points, and the time of day.
You can use this data to demonstrate Best Subsets Regression.
| Worksheet column | Description | Variable type |
|---|---|---|
| Heat Flux | The total heat flux, in kwatts | Response |
| Insolation | The insolation value, in watts/m2 | Predictor |
| East | The position of the focal point in the east direction, in inches | Predictor |
| South | The position of the focal point in the south direction, in inches | Predictor |
| North | The position of the focal point in the north direction, in inches | Predictor |
| Time of Day | The time of day that the data were collected | Predictor |
Data are from D.C. Montgomery, E.A. Peck, and G.G. Vining (2012). Introduction to Linear Regression Analysis. John Wiley & Sons.