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 = -1.4 * weight + 146
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | JACKOWIAK Jan Michal | 65 |
| 16 | ROONI Ron | 72 |
| 17 | BENNETZEN Lucca | 72 |
| 31 | KLEIBRANT Wilmer | 61 |
| 34 | DIJKMAN Daan | 55 |
| 35 | TAMMEPUU Riko | 68 |
| 39 | VASSAL Théophile | 65 |
| 40 | HEWES Alex | 69 |
| 53 | PATRAS Jakub | 69 |
| 58 | ROSATO Giacomo | 57 |
| 67 | JAKOBSONS Marks | 68 |
| 71 | MARTINET Valentin | 66 |
| 84 | FITZGERALD Max | 73 |
| 114 | HERNANDEZ Jan | 54 |
| 118 | KŐRÖSI Gábor | 65 |