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 = 0.9 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUIJGH Rob | 64 |
| 4 | GAUTIER Cyril | 65 |
| 6 | BAKELANTS Jan | 67 |
| 8 | KRUIJSWIJK Steven | 63 |
| 9 | OFFREDO Yoann | 69 |
| 15 | SEELDRAEYERS Kevin | 60 |
| 16 | HERMANS Ben | 72 |
| 22 | VANSPEYBROUCK Pieter | 76 |
| 31 | ROSSETTO Stéphane | 68 |
| 34 | MAES Nikolas | 78 |
| 45 | HUREL Tony | 66 |
| 47 | HOUANARD Steve | 70 |
| 52 | CHEREL Mikaël | 65 |
| 53 | MALACARNE Gael | 73 |
| 71 | POELS Wout | 66 |