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 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRIXA Jarno | 62 |
| 3 | GROZEV Gabriel | 61 |
| 5 | STOLIĆ Mihajlo | 73 |
| 7 | PALASHEV Borislav | 67 |
| 8 | ESKEDAL Vetle Torin | 63 |
| 14 | MEUNIER SOW Neriah | 61 |
| 16 | PETROV Yordan | 66 |
| 23 | KÄRSTEN Moritz | 75 |
| 26 | MÓROCZ Barnabás | 74 |
| 30 | CZASA Moritz | 70 |
| 34 | POPOV Vasil | 70 |
| 35 | GEORGIEV Stefan | 68 |
| 36 | DIVNIĆ Jovan | 64 |
| 37 | TURKULOV Luka | 65 |
| 38 | VASKÓ Levente | 69 |