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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BALYKIN Ivan | 68 |
| 5 | VAN DER POEL Mathieu | 75 |
| 6 | WALSLEBEN Philipp | 66 |
| 7 | STASH Mamyr | 77 |
| 8 | LAAS Martin | 76 |
| 9 | VASYLYUK Andriy | 65 |
| 11 | VAN DER POEL David | 75 |
| 12 | EICHLER Markus | 78 |
| 13 | KRUOPIS Aidis | 80 |
| 14 | REINHARDT Theo | 72 |
| 16 | BOGDANOVIČS Māris | 68 |