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 = 2.8 * weight - 188
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Pfenninger
2
70 kgDe Vlaeminck
4
74 kgKarstens
15
74 kgKrekels
22
73 kgSteevens
44
73 kg
2
70 kgDe Vlaeminck
4
74 kgKarstens
15
74 kgKrekels
22
73 kgSteevens
44
73 kg
Weight (KG) →
Result →
74
70
2
44
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PFENNINGER Louis | 70 |
| 4 | DE VLAEMINCK Roger | 74 |
| 15 | KARSTENS Gerben | 74 |
| 22 | KREKELS Jan | 73 |
| 44 | STEEVENS Harry | 73 |