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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIER Paul | 70 |
| 3 | SUTTON Louis | 68 |
| 4 | RUIZ Jeferson Armando | 57 |
| 6 | BEHRENS Niklas | 80 |
| 12 | MICHELS Jente | 59 |
| 13 | SCHRETTL Marco | 63 |
| 14 | ARRIGHETTI Nicolò | 74 |
| 15 | HOBBS Noah | 67 |
| 16 | KESS Alexandre | 70 |
| 17 | NOVÁK Samuel | 63 |
| 18 | GIERYK Kacper | 71 |
| 19 | PEDERSEN Rasmus Søjberg | 74 |