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 = 0.6 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DURET Sébastien | 62 |
| 2 | BEPPU Fumiyuki | 69 |
| 3 | DELPECH Jean-Luc | 72 |
| 5 | STUBBE Tom | 66 |
| 6 | PASSERON Aurélien | 73 |
| 7 | DIDIER Laurent | 68 |
| 9 | BOUCHER David | 78 |
| 11 | MAASKANT Martijn | 76 |
| 12 | ROCHE Nicolas | 70 |
| 13 | DE FAUW Dimitri | 77 |
| 14 | KEISSE Iljo | 72 |
| 15 | GREIPEL André | 80 |
| 16 | LEEZER Tom | 76 |
| 17 | ROUSSEAU Nicolas | 70 |