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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POSPYEYEV Kyrylo | 71 |
| 3 | KOLOBNEV Alexandr | 64 |
| 4 | NYS Sven | 73 |
| 9 | LÖWIK Gerben | 72 |
| 11 | VENEBERG Thorwald | 75 |
| 13 | GEORGE David | 61 |
| 14 | HAYMAN Mathew | 78 |
| 15 | SCHMITZ Bram | 77 |
| 18 | ORDOWSKI Volker | 59 |
| 19 | MUTSAARS Ronald | 67 |
| 21 | HUZARSKI Bartosz | 69 |
| 23 | TRAKSEL Bobbie | 72 |