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 - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Firsanov
5
58 kgJenkins
8
63 kgLaengen
10
79 kgKristoff
14
78 kgDidier
17
68 kgden Bakker
40
71 kgvan Leijen
44
73 kg
5
58 kgJenkins
8
63 kgLaengen
10
79 kgKristoff
14
78 kgDidier
17
68 kgden Bakker
40
71 kgvan Leijen
44
73 kg
Weight (KG) →
Result →
79
58
5
44
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | FIRSANOV Sergey | 58 |
| 8 | JENKINS Max | 63 |
| 10 | LAENGEN Vegard Stake | 79 |
| 14 | KRISTOFF Alexander | 78 |
| 17 | DIDIER Laurent | 68 |
| 40 | DEN BAKKER Maarten | 71 |
| 44 | VAN LEIJEN Joost | 73 |