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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ETXEBARRIA David | 55 |
| 2 | DELRIEU David | 69 |
| 3 | BARRY Michael | 72 |
| 4 | MOERENHOUT Koos | 74 |
| 5 | PRETOT Arnaud | 71 |
| 6 | HUSER Rolf | 65 |
| 9 | VANSEVENANT Wim | 65 |
| 10 | SALMON Benoît | 60 |
| 12 | IVANOV Sergei | 73 |
| 16 | MORIN Anthony | 79 |
| 17 | NEWTON Christopher | 69 |
| 18 | VAN DE WOUWER Kurt | 66 |
| 20 | PÉREZ RODRÍGUEZ Luis | 67 |