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 = -1.5 * weight + 139
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HOSTE Frank | 76 |
| 4 | FONDRIEST Maurizio | 70 |
| 6 | VAN DER POEL Adrie | 70 |
| 14 | MUSEEUW Johan | 71 |
| 15 | HODGE Stephen | 74 |
| 17 | GLAUS Gilbert | 67 |
| 20 | DE ROOIJ Theo | 69 |
| 23 | TRINKLER Richard | 67 |
| 31 | GIANETTI Mauro | 62 |
| 35 | WECHSELBERGER Helmut | 71 |
| 56 | ROMINGER Tony | 65 |
| 62 | DEMIERRE Serge | 70 |
| 77 | RICHARD Pascal | 67 |
| 82 | JÄRMANN Rolf | 73 |