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 + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÉRARD Julien | 70 |
| 2 | NOVIKOV Nikita | 77 |
| 3 | KNEISKY Morgan | 68 |
| 4 | TLEUBAYEV Ruslan | 70 |
| 7 | PIETERS Sibrecht | 73 |
| 8 | EIJSSEN Yannick | 60 |
| 9 | NAULEAU Bryan | 67 |
| 10 | COUSIN Jérôme | 74 |
| 11 | HARDY Romain | 62 |
| 13 | ERSHOV Artur | 70 |
| 15 | ARGUELYES Arkimedes | 66 |
| 17 | VANDYCK Niels | 64 |
| 19 | DAMUSEAU Thomas | 64 |
| 20 | SICARD Romain | 63 |