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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ĐURIĆ Đorđe | 79 |
| 2 | ILIĆ Ognjen | 86 |
| 3 | KERS Koos Jeroen | 71 |
| 4 | KARIĆ Vedad | 78 |
| 7 | REEMEIJER Niels | 70 |
| 8 | STOLIĆ Mihajlo | 73 |
| 9 | PETROV Yordan | 66 |
| 10 | STOJNIĆ Veljko | 73 |
| 11 | GRÖMMEL Rens | 70 |
| 12 | DIVNIĆ Jovan | 64 |
| 17 | ERAUW Thiemo | 69 |
| 18 | VELIA Olsian | 74 |
| 19 | ZEGKLIS Nikolaos | 57 |
| 20 | PALASHEV Borislav | 67 |
| 21 | JOVANOSKI Dimitar | 68 |
| 22 | GROVER Freddie | 72 |
| 23 | OCHSENHOFER Peter | 88 |