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 = 0.5 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TCHMIL Andrei | 75 |
| 3 | SUNDERLAND Scott | 65 |
| 4 | LE BOULANGER Yoann | 70 |
| 5 | BRUYLANDTS Dave | 63 |
| 6 | LEUKEMANS Björn | 67 |
| 7 | PÉREZ Marlon Alirio | 68 |
| 10 | DE NEEF Steven | 75 |
| 11 | HAMMOND Roger | 71 |
| 16 | KRISTENSEN Lennie | 70 |
| 17 | ROSSELER Sébastien | 78 |
| 18 | PEERS Chris | 73 |
| 19 | GUYTON Scott | 74 |
| 21 | DEVOLDER Stijn | 72 |
| 22 | KLEYNEN Steven | 72 |
| 24 | KASHECHKIN Andrey | 70 |
| 26 | DE CLERCQ Mario | 66 |