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 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
De Greef
1
77 kgArmée
2
72 kgVanspeybrouck
3
76 kgKvist
5
68 kgVanmarcke
6
77 kgGuillou
8
71 kgRoelandts
10
78 kg
1
77 kgArmée
2
72 kgVanspeybrouck
3
76 kgKvist
5
68 kgVanmarcke
6
77 kgGuillou
8
71 kgRoelandts
10
78 kg
Weight (KG) →
Result →
78
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE GREEF Francis | 77 |
| 2 | ARMÉE Sander | 72 |
| 3 | VANSPEYBROUCK Pieter | 76 |
| 5 | KVIST Thomas Vedel | 68 |
| 6 | VANMARCKE Sep | 77 |
| 8 | GUILLOU Florian | 71 |
| 10 | ROELANDTS Jürgen | 78 |