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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLI Wladimir | 64 |
| 2 | MARTINEZ José Alberto | 67 |
| 3 | MAIGNAN Gilles | 63 |
| 4 | VINOKOUROV Alexandre | 68 |
| 5 | STREEL Marc | 69 |
| 6 | BLAUDZUN Michael | 66 |
| 7 | MOREAU Christophe | 71 |
| 8 | DUFAUX Laurent | 60 |
| 9 | VAN HYFTE Paul | 70 |
| 10 | LANGELLA Anthony | 76 |
| 11 | VASSEUR Cédric | 70 |
| 15 | DURAND Jacky | 76 |
| 16 | GOUGOT Fabrice | 72 |
| 17 | SALMON Benoît | 60 |
| 18 | BERGÈS Stéphane | 68 |
| 19 | TOTSCHNIG Georg | 62 |