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 - 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAMBRECHT Bjorg | 56 |
| 2 | GAUDU David | 53 |
| 3 | CRAS Steff | 65 |
| 4 | LE TURNIER Mathias | 65 |
| 5 | VANHOUCKE Harm | 65 |
| 6 | REYES Aldemar | 55 |
| 7 | PEARSON Daniel | 53 |
| 8 | GESBERT Élie | 63 |
| 9 | KNOX James | 58 |
| 10 | SCHULTZ Nick | 68 |
| 13 | CHERKASOV Nikolay | 68 |
| 14 | VINCENT Léo | 62 |
| 16 | PARET-PEINTRE Aurélien | 64 |
| 17 | CARBONI Giovanni | 61 |
| 18 | DAVIES Scott | 66 |