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 = 0.6 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HOLMES Wil | 64 |
| 7 | LARSSON Linus | 60 |
| 9 | VANDEVORST Nio | 74 |
| 13 | WEBER Gino | 77 |
| 18 | HEATH Will | 63 |
| 23 | ARJUS Henri | 70 |
| 26 | GALLE Mika | 63 |
| 28 | BAUWENS Siebe | 71 |
| 36 | CNUDDE Louis | 75 |