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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEREZ Anthony | 70 |
| 2 | VAN BAARLE Dylan | 78 |
| 4 | HIRT Jan | 62 |
| 5 | KELDERMAN Wilco | 65 |
| 6 | TURGIS Jimmy | 63 |
| 7 | GUILLEMOIS Romain | 66 |
| 8 | MARKUS Barry | 75 |
| 9 | VAN KEIRSBULCK Guillaume | 89 |
| 10 | VALGREN Michael | 71 |
| 11 | POLANC Jan | 62 |
| 13 | FREITAS Daniel | 64 |
| 14 | BAZHKOU Stanislau | 65 |
| 15 | JUNGELS Bob | 70 |