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 = -0.7 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN David | 68 |
| 3 | BOL Jetse | 71 |
| 4 | DE BONDT Dries | 73 |
| 7 | SORARRAIN Gorka | 76 |
| 10 | LATOUR Pierre | 66 |
| 11 | TRONCHON Bastien | 72 |
| 12 | GUÉGAN Maël | 71 |
| 14 | WARBASSE Larry | 67 |
| 15 | PENHOËT Paul | 64 |
| 16 | SEVILLA Diego Pablo | 64 |