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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAMMERTINK Maurits | 61 |
| 2 | RASMUSSEN Alex | 88 |
| 3 | LATOŃ Eryk | 76 |
| 4 | MARYCZ Jarosław | 69 |
| 5 | KOMAR Mateusz | 73 |
| 6 | BRUSSELMAN Twan | 76 |
| 7 | RESKE Tim | 64 |
| 8 | BAŠKA Erik | 74 |
| 9 | PREVAR Oleksandr | 64 |
| 10 | PODLASKI Michał | 68 |
| 16 | BERDOS Oleg | 68 |
| 18 | TEKLIńSKI Adrian | 88 |
| 21 | TYBOR Patrik | 72 |