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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Guldhammer
3
66 kgDockx
4
64 kgLodewyck
5
70 kgDron
7
72 kgDhaene
8
73 kgGhyselinck
10
74 kg
3
66 kgDockx
4
64 kgLodewyck
5
70 kgDron
7
72 kgDhaene
8
73 kgGhyselinck
10
74 kg
Weight (KG) →
Result →
74
64
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GULDHAMMER Rasmus | 66 |
| 4 | DOCKX Gert | 64 |
| 5 | LODEWYCK Klaas | 70 |
| 7 | DRON Boris | 72 |
| 8 | DHAENE Brecht | 73 |
| 10 | GHYSELINCK Jan | 74 |