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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GENIEZ Alexandre | 68 |
| 2 | CASTROVIEJO Jonathan | 62 |
| 4 | DAMUSEAU Thomas | 64 |
| 5 | PIETERS Sibrecht | 73 |
| 6 | STETINA Peter | 63 |
| 10 | BÉRARD Julien | 70 |
| 11 | IGNATENKO Petr | 63 |
| 14 | HARDY Romain | 62 |
| 15 | SICARD Romain | 63 |
| 16 | TLEUBAYEV Ruslan | 70 |
| 18 | NOVIKOV Nikita | 77 |
| 19 | KNEISKY Morgan | 68 |
| 20 | BAGOT Yoann | 65 |