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 + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRÉANT Romain | 62 |
| 2 | GEORGE Alfred | 78 |
| 16 | TAMM Lauri | 73 |
| 17 | HARTLEY James | 72 |
| 18 | LAGNET Gari | 59 |
| 22 | SAVER Kasper | 76 |
| 28 | ROBIN Simon | 71 |
| 31 | MACKIE Ewan | 66 |
| 32 | DUDEK Louis | 65 |