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 = 1.3 * weight - 71
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONZALO Eduardo | 66 |
| 2 | PERGET Mathieu | 64 |
| 4 | SONNERY Blaise | 60 |
| 5 | SEELDRAEYERS Kevin | 60 |
| 6 | MARINO Jean-Marc | 65 |
| 8 | MEERSMAN Gianni | 63 |
| 9 | CIEŚLIK Paweł | 65 |
| 10 | HUPOND Thierry | 65 |
| 15 | ROUSSEAU Nicolas | 70 |
| 17 | LADAGNOUS Matthieu | 73 |
| 18 | GALLAND Jérémie | 62 |
| 20 | PASSERON Aurélien | 73 |
| 21 | ANTOMARCHI Julien | 70 |
| 24 | POULHIÈS Stéphane | 75 |
| 25 | TANNER David | 70 |
| 26 | SULZBERGER Bernard | 67 |