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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÜNG Stefan | 83 |
| 2 | VAN DER POEL Mathieu | 75 |
| 3 | IMHOF Claudio | 80 |
| 4 | SCHACHMANN Maximilian | 71 |
| 5 | BISSEGGER Stefan | 78 |
| 6 | CATTANEO Mattia | 67 |
| 7 | POELS Wout | 66 |
| 8 | GARCÍA CORTINA Iván | 77 |
| 9 | SCULLY Tom | 85 |
| 10 | ALAPHILIPPE Julian | 62 |
| 11 | MATTHEWS Michael | 72 |
| 12 | HIRSCHI Marc | 61 |
| 13 | BOHLI Tom | 71 |
| 14 | JANSEN Amund Grøndahl | 83 |