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 + 61
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOSS Matthew | 70 |
| 4 | CANNONE Donato | 75 |
| 6 | BRUTT Pavel | 70 |
| 9 | HUGUET Yann | 66 |
| 10 | KLIMOV Sergey | 69 |
| 13 | CLARKE Simon | 63 |
| 14 | JACOBS Pieter | 68 |
| 17 | PARDILLA Sergio | 65 |
| 18 | SEROV Alexander | 77 |
| 21 | HERRADA José | 65 |
| 25 | EL FARES Julien | 62 |