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 + 92
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NOVAL Benjamín | 72 |
| 13 | TURCONI Matteo | 67 |
| 18 | SALAMIN Antoine | 72 |
| 22 | FRIGO Davide | 68 |
| 23 | JORDAN Ayden | 61 |
| 26 | DENTELLI Giacomo | 67 |
| 42 | ROSATO Giacomo | 57 |
| 45 | JACKOWIAK Jan Michal | 65 |
| 57 | HAUGETUN Kristian | 63 |
| 76 | GOLDSTEIN Or | 57 |
| 80 | HAINBUCHER Florian | 71 |
| 81 | HEWES Alex | 69 |
| 92 | MARKOVIC Gavrilo | 75 |
| 121 | DAVIDOV Igor | 57 |
| 129 | STOJANOVIĆ Vuk | 71 |