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 = 3.5 * weight - 208
This means that on average for every extra kilogram weight a rider loses 3.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROMINGER Tony | 65 |
| 3 | SØRENSEN Rolf | 70 |
| 4 | VANDERAERDEN Eric | 74 |
| 6 | FONDRIEST Maurizio | 70 |
| 11 | SARONNI Giuseppe | 65 |
| 12 | VAN DER POEL Adrie | 70 |
| 20 | MADIOT Marc | 68 |
| 21 | BAUER Steve | 72 |
| 23 | BUGNO Gianni | 68 |
| 41 | ARGENTIN Moreno | 66 |
| 44 | LEMOND Greg | 67 |
| 84 | TOLHOEK Patrick | 63 |
| 107 | ARNTZ Marcel | 70 |
| 136 | PIETERS Peter | 82 |