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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kritskiy
1
81 kgVandousselaere
2
71 kgVanspeybrouck
3
76 kgStauff
4
82 kgDockx
5
64 kgClaeys
6
77 kgDufrasne
16
70 kg
1
81 kgVandousselaere
2
71 kgVanspeybrouck
3
76 kgStauff
4
82 kgDockx
5
64 kgClaeys
6
77 kgDufrasne
16
70 kg
Weight (KG) →
Result →
82
64
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRITSKIY Timofey | 81 |
| 2 | VANDOUSSELAERE Sven | 71 |
| 3 | VANSPEYBROUCK Pieter | 76 |
| 4 | STAUFF Andreas | 82 |
| 5 | DOCKX Gert | 64 |
| 6 | CLAEYS Dimitri | 77 |
| 16 | DUFRASNE Jonathan | 70 |