Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARCHAMBAUD Maurice | 66 |
| 2 | AMBERG Leo | 72 |
| 3 | KINT Marcel | 74 |
| 4 | MEULENBERG Eloi | 73 |
| 5 | EGLI Paul | 72 |
| 6 | FONTENAY Jean | 67 |
| 7 | LEMAY Fernand | 58 |
| 8 | FLEURET Roland | 69 |
| 9 | PÉLISSIER Charles | 77 |
| 10 | DEBENNE René | 64 |