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 = -0.3 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | JASKUŁA Zenon | 76 |
| 5 | FONDRIEST Maurizio | 70 |
| 6 | KELLY Sean | 77 |
| 8 | EARLEY Martin | 62 |
| 13 | GIANETTI Mauro | 62 |
| 14 | SERGEANT Marc | 76 |
| 15 | LELLI Massimiliano | 69 |
| 24 | SARONNI Giuseppe | 65 |
| 30 | JÄRMANN Rolf | 73 |
| 44 | BREUKINK Erik | 70 |
| 47 | SØRENSEN Rolf | 70 |
| 50 | VERSTREPEN Johan | 66 |