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 = -1.7 * weight + 145
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ROSAL Juanjo | 70 |
| 7 | SILVA Pedro | 67 |
| 11 | SELIVERT Fabien | 61 |
| 12 | RODRÍGUEZ Carlos | 67 |
| 13 | EPIS Giosuè | 64 |
| 19 | GILABERT Arnau | 57 |
| 31 | SEMPERENA OYARZABAL Telmo | 70 |
| 33 | CAILLIAU Taïno | 61 |
| 38 | MONTOLI Andrea | 66 |
| 42 | MOYA Sergi | 57 |
| 43 | VINOKUROV Alexandre | 66 |
| 55 | MESSERSCHMIDT Jonas Fabian | 68 |
| 68 | HUBY Antoine | 56 |
| 81 | STEVANT Malo | 65 |
| 87 | SERRANO Javier | 60 |