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 = 0.8 * weight - 49
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Godefroot
1
73 kgDe Vlaeminck
2
74 kgZoet
18
77 kgVan Looy
20
73 kgKrekels
23
73 kg
1
73 kgDe Vlaeminck
2
74 kgZoet
18
77 kgVan Looy
20
73 kgKrekels
23
73 kg
Weight (KG) →
Result →
77
73
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 2 | DE VLAEMINCK Roger | 74 |
| 18 | ZOET Bart | 77 |
| 20 | VAN LOOY Rik | 73 |
| 23 | KREKELS Jan | 73 |