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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGNATIEV Mikhail | 67 |
| 2 | BRUTT Pavel | 70 |
| 3 | ŠTYBAR Zdeněk | 68 |
| 5 | TRUSOV Nikolay | 77 |
| 8 | CORNU Dominique | 78 |
| 9 | VANTORNOUT Klaas | 69 |
| 12 | NEYENS Maarten | 74 |
| 13 | SEROV Alexander | 77 |
| 18 | DUGGAN Timothy | 60 |
| 19 | BELDA David | 53 |
| 20 | KLIMOV Sergey | 69 |
| 22 | ESTRADA Juan Javier | 70 |
| 23 | VERVECKEN Erwin | 78 |