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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GEE Derek | 72 |
| 2 | OKAMIKA Ander | 70 |
| 3 | CHUMIL Sergio Geovani | 62 |
| 4 | BURNETT Josh | 73 |
| 5 | PIGANZOLI Davide | 61 |
| 6 | CEPEDA Jefferson Alveiro | 61 |
| 7 | ROCHAS Rémy | 51 |
| 9 | MARCELLUSI Martin | 62 |
| 11 | TONELLI Alessandro | 64 |
| 14 | GONZALEZ Asier Pablo | 57 |
| 15 | VANSEVENANT Mauri | 60 |
| 16 | FERNÁNDEZ Samuel | 57 |
| 17 | KNOX James | 58 |
| 19 | KULSET Johannes | 58 |
| 20 | PEÑA Jesús David | 56 |
| 21 | DECOMBLE Maxime | 62 |
| 24 | NYCH Artem | 74 |