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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AERTS Toon | 72 |
| 3 | HERMANS Quinten | 62 |
| 4 | KRUL Stef | 68 |
| 5 | SOETE Daan | 72 |
| 7 | SLIK Ivar | 71 |
| 8 | BAX Sjoerd | 78 |
| 10 | RÜEGG Lukas | 66 |
| 11 | CLEPPE Nicolas | 66 |
| 12 | REUTIMANN Matthias | 71 |
| 13 | KOSTER Adne | 65 |
| 14 | TEUGELS Lennert | 64 |
| 15 | MARCHAND Gianni | 61 |
| 16 | DIELEMAN Michiel | 78 |
| 17 | HNÍK Karel | 57 |
| 18 | SCHULTZ Jesper | 60 |
| 19 | RABITSCH Stephan | 69 |