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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROUS Didier | 70 |
| 2 | BLIJLEVENS Jeroen | 70 |
| 3 | HEULOT Stéphane | 69 |
| 4 | JALABERT Laurent | 66 |
| 5 | VASSEUR Cédric | 70 |
| 6 | HERNANDEZ Jaime Javier | 70 |
| 7 | JALABERT Nicolas | 68 |
| 9 | MENGIN Christophe | 68 |
| 10 | SVORADA Ján | 76 |
| 12 | BERTOGLIATI Rubens | 73 |
| 13 | ZANETTE Denis | 82 |
| 14 | HAUPTMAN Andrej | 70 |
| 16 | SAUGRAIN Cyril | 62 |
| 18 | SIMON François | 70 |
| 20 | SANDSTØD Michael | 74 |