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 + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | KRUOPIS Aidis | 80 |
4 | DUIJN Huub | 73 |
5 | PREMONT Christophe | 69 |
9 | DUFRASNE Jonathan | 70 |
17 | CAMMAERTS Edwig | 74 |
18 | STUBBE Tom | 66 |
20 | JUODVALKIS Egidijus | 73 |
22 | HULSMANS Kevin | 75 |
25 | VAN AERT Jan | 61 |
26 | FRANCK Eamon Lucas | 86 |
28 | PUTT Tanner | 75 |
29 | STALLAERT Joeri | 72 |
46 | DE POORTERE Ingmar | 70 |