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 + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILBERT Philippe | 75 |
| 2 | MONCOUTIÉ David | 69 |
| 3 | PERGET Mathieu | 64 |
| 4 | DELAGE Mickaël | 70 |
| 5 | DURÁN Arkaitz | 70 |
| 6 | POULHIÈS Stéphane | 75 |
| 7 | CARLSTRÖM Kjell | 70 |
| 8 | SÁNCHEZ Luis León | 73 |
| 10 | OFFREDO Yoann | 69 |
| 11 | BURGHARDT Marcus | 75 |
| 12 | SØRENSEN Nicki | 71 |
| 13 | SULZBERGER Wesley | 65 |
| 14 | CLARKE Simon | 63 |
| 16 | LLOYD Matthew | 62 |
| 17 | CHAMPION Dimitri | 70 |