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 = 0.8 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NORDHAGEN Jørgen | 59 |
| 6 | AUGUST Andrew | 57 |
| 8 | REMIJN Senna | 68 |
| 10 | FIETZKE Paul | 60 |
| 11 | GUALDI Simone | 61 |
| 14 | VAN DER WERFF Thom | 60 |
| 15 | NEGRENTE Mattia | 65 |
| 18 | VLOT Mees | 57 |
| 19 | NOVÁK Samuel | 63 |
| 20 | GRUSZCZYNSKI Filip | 60 |
| 21 | SCHWARZBACHER Matthias | 72 |
| 26 | HAUGLAND Kasper | 74 |
| 27 | OMRZEL Jakob | 62 |
| 31 | ØRN-KRISTOFF Felix | 76 |