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 = 1.9 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POELS Wout | 66 |
| 3 | BELDA David | 53 |
| 7 | ROLDÁN Jose Luis | 61 |
| 12 | LJUNGBLAD Jonas | 70 |
| 15 | GUTIÉRREZ David | 60 |
| 17 | FERRARI Fabricio | 64 |
| 19 | CARRASCO Sergio | 56 |
| 35 | HONIG Reinier | 61 |
| 36 | RYBAKOV Alexander | 65 |
| 43 | LODEWYCK Klaas | 70 |
| 45 | BOOM Lars | 75 |
| 58 | KRASNOV Leonid | 65 |
| 62 | MOL Wouter | 83 |
| 71 | VAN STAEYEN Michael | 62 |
| 73 | VAN EMDEN Jos | 78 |
| 74 | BOL Jetse | 71 |