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 = 0.4 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LUND Anders | 65 |
| 4 | USOV Alexandre | 63 |
| 5 | GERRANS Simon | 62 |
| 7 | VAN LEIJEN Joost | 73 |
| 8 | PERGET Mathieu | 64 |
| 9 | TANNER David | 70 |
| 10 | FLENS Rick | 82 |
| 11 | BOŽIČ Borut | 70 |
| 13 | MAHORIČ Mitja | 68 |
| 14 | MARTENS Paul | 69 |
| 15 | SOKOLOV Evgeny | 70 |
| 16 | TROFIMOV Yuri | 59 |
| 23 | HRAZDIRA Michal | 77 |
| 24 | NEIRYNCK Stijn | 78 |
| 25 | SCANLON Mark | 79 |
| 26 | MEERSMAN Gianni | 63 |
| 29 | CALZATI Sylvain | 68 |