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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Guldhammer
2
66 kgVandousselaere
4
71 kgVanendert
6
64 kgGhyselinck
10
74 kgGallopin
13
69 kgvan Poppel
15
78 kg
2
66 kgVandousselaere
4
71 kgVanendert
6
64 kgGhyselinck
10
74 kgGallopin
13
69 kgvan Poppel
15
78 kg
Weight (KG) →
Result →
78
64
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GULDHAMMER Rasmus | 66 |
| 4 | VANDOUSSELAERE Sven | 71 |
| 6 | VANENDERT Dennis | 64 |
| 10 | GHYSELINCK Jan | 74 |
| 13 | GALLOPIN Tony | 69 |
| 15 | VAN POPPEL Boy | 78 |