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 = 0.2 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PETROV Yordan | 66 |
| 7 | MEUNIER SOW Neriah | 61 |
| 15 | HADZHISTOYANOV Borislav | 69 |
| 16 | GRIXA Jarno | 62 |
| 22 | KÄRSTEN Moritz | 75 |
| 24 | VASKÓ Levente | 69 |
| 25 | JOVANOSKI Dimitar | 68 |
| 26 | GROZEV Gabriel | 61 |
| 27 | FUJIMURA Kazuma | 63 |
| 29 | JOHN Vincent | 65 |
| 31 | PALASHEV Borislav | 67 |
| 34 | ESKEDAL Vetle Torin | 63 |
| 35 | GEORGIEV Stefan | 68 |