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 = 1.6 * weight - 106
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Madiot
4
68 kgHeirweg
5
73 kgRoche
6
74 kgKelly
14
77 kgDemol
22
72 kgWampers
30
82 kg
4
68 kgHeirweg
5
73 kgRoche
6
74 kgKelly
14
77 kgDemol
22
72 kgWampers
30
82 kg
Weight (KG) →
Result →
82
68
4
30
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MADIOT Marc | 68 |
| 5 | HEIRWEG Dirk | 73 |
| 6 | ROCHE Stephen | 74 |
| 14 | KELLY Sean | 77 |
| 22 | DEMOL Dirk | 72 |
| 30 | WAMPERS Jean-Marie | 82 |