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) |
|---|---|---|
| 1 | BROŻYNA Tomasz | 65 |
| 2 | MANCEBO Francisco | 64 |
| 3 | HALGAND Patrice | 67 |
| 4 | DEMARBAIX Sébastien | 64 |
| 8 | VAN DE WOUWER Kurt | 66 |
| 9 | MILLAR David | 79 |
| 10 | FLORES Iker | 74 |
| 11 | MONCOUTIÉ David | 69 |
| 12 | BOTCHAROV Alexandre | 54 |
| 13 | DELRIEU David | 69 |
| 14 | BARANOWSKI Dariusz | 68 |
| 15 | YAKOVLEV Serguei | 70 |
| 16 | GOUGOT Fabrice | 72 |
| 18 | EKIMOV Viatcheslav | 69 |
| 19 | PERON Andrea | 70 |
| 20 | JEKER Fabian | 72 |