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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERKLOTZ Silvio | 68 |
| 2 | OOMEN Sam | 65 |
| 3 | TUSVELD Martijn | 70 |
| 5 | BOUCHARD Geoffrey | 63 |
| 6 | MARTIN Guillaume | 55 |
| 7 | VENTURINI Clément | 60 |
| 8 | VAN EMPEL Etienne | 64 |
| 9 | LEDANOIS Kévin | 67 |
| 10 | BUDDING Martijn | 74 |
| 11 | HOFSTEDE Lennard | 73 |
| 13 | ŠIŠKEVIČIUS Paulius | 70 |
| 14 | MEIJERS Jeroen | 68 |
| 16 | DENZ Nico | 71 |
| 19 | VINJEBO Emil Mielke | 67 |
| 21 | ZELLER Lukas | 72 |
| 23 | CHAVANNE Gabriel | 83 |