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 = -1.8 * weight + 153
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TAMM Lauri | 73 |
| 9 | KONGSTAD Alfred | 75 |
| 13 | PERA Marceli | 68 |
| 14 | STRUNGE Lucas | 75 |
| 16 | POMORSKI Michał | 76 |
| 21 | TVERGAARD Mikkel | 72 |
| 24 | LARSSON David | 73 |
| 25 | FRANCISCO Jude Gabriel | 62 |
| 28 | NIELSEN Max | 76 |
| 34 | NAKKEN Tobias Risan | 72 |
| 42 | KLISMETS Kārlis | 64 |
| 48 | KOKLE Gvido | 65 |
| 50 | JÜRISAAR Tauri | 62 |