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 - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ENGELS Addy | 64 |
| 4 | VAN DIJK Stefan | 74 |
| 8 | VENEBERG Thorwald | 75 |
| 13 | HAYMAN Mathew | 78 |
| 14 | KROON Karsten | 67 |
| 17 | WIELINGA Remmert | 68 |
| 22 | LÖWIK Gerben | 72 |
| 25 | SCHMITZ Bram | 77 |