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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 2 | SVORADA Ján | 76 |
| 3 | CAPELLE Christophe | 73 |
| 4 | EDO Ángel | 64 |
| 5 | MARTINELLO Silvio | 71 |
| 6 | DE CLERCQ Mario | 66 |
| 9 | RODRIGUES Orlando Sergio | 68 |
| 10 | JALABERT Laurent | 66 |
| 11 | GAUMONT Philippe | 77 |
| 15 | MATTAN Nico | 69 |
| 17 | HAMBURGER Bo | 58 |