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 = -2.8 * weight + 216
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRÍGUEZ Carlos | 67 |
| 10 | SILVA Pedro | 67 |
| 13 | ROSAL Juanjo | 70 |
| 17 | MESSERSCHMIDT Jonas Fabian | 68 |
| 21 | EPIS Giosuè | 64 |
| 30 | HUBY Antoine | 56 |
| 33 | VINOKUROV Alexandre | 66 |
| 35 | GILABERT Arnau | 57 |
| 41 | MONTOLI Andrea | 66 |
| 42 | CAILLIAU Taïno | 61 |
| 51 | SEMPERENA OYARZABAL Telmo | 70 |
| 53 | STEVANT Malo | 65 |
| 78 | SERRANO Javier | 60 |
| 81 | SELIVERT Fabien | 61 |
| 82 | MOYA Sergi | 57 |