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 + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUERIN Alexis | 64 |
| 2 | SIMÓN Jordi | 64 |
| 3 | BAGOT Yoann | 65 |
| 4 | LEVARLET Guillaume | 67 |
| 6 | ROSSETTO Stéphane | 68 |
| 7 | BALDO Nicolas | 73 |
| 9 | MINNAARD Marco | 65 |
| 10 | DURET Sébastien | 62 |
| 11 | KORETZKY Clément | 66 |
| 12 | TUSVELD Martijn | 70 |
| 13 | GUILLEMOIS Romain | 66 |
| 15 | LATOUR Pierre | 66 |
| 16 | PRADES Benjamín | 56 |
| 17 | ETXEBERRIA Víctor | 61 |
| 18 | BIDARD François | 65 |