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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DER WERFF Thom | 60 |
| 4 | VLOT Mees | 57 |
| 5 | CHAMBERLAIN Oscar | 74 |
| 7 | NORDHAGEN Jørgen | 59 |
| 9 | SEIXAS Paul | 61 |
| 10 | REMIJN Senna | 68 |
| 11 | HOLMES Wil | 64 |
| 12 | SPARFEL Aubin | 59 |
| 13 | STOKES Ben | 68 |
| 14 | SIERRA Juan David | 70 |