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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUPONT Timothy | 72 |
| 2 | PLANCKAERT Baptiste | 65 |
| 3 | VEREECKEN Nicolas | 72 |
| 4 | CAVAGNA Rémi | 78 |
| 5 | DRUYTS Gerry | 69 |
| 6 | FEILLU Romain | 62 |
| 7 | VANTOMME Maxime | 63 |
| 8 | MAITRE Florian | 71 |
| 11 | ORRICO Davide | 70 |
| 13 | LE ROUX Romain | 59 |
| 15 | ANTOMARCHI Julien | 70 |
| 16 | JAKIN Alo | 71 |
| 18 | LEVEAU Jérémy | 67 |
| 20 | SCOTT Jacob | 68 |
| 22 | MEURISSE Xandro | 71 |
| 24 | JACOBS Pieter | 68 |
| 25 | STASSEN Julien | 66 |