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 = -6.9 * weight + 659
This means that on average for every extra kilogram weight a rider loses -6.9 positions in the result.
Derycke
3
70 kgGaul
9
64 kgBobet
14
74 kgDe Bruyne
32
68 kgCoppi
48
72 kgErnzer
990
69 kg
3
70 kgGaul
9
64 kgBobet
14
74 kgDe Bruyne
32
68 kgCoppi
48
72 kgErnzer
990
69 kg
Weight (KG) →
Result →
74
64
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DERYCKE Germain | 70 |
| 9 | GAUL Charly | 64 |
| 14 | BOBET Louison | 74 |
| 32 | DE BRUYNE Alfred | 68 |
| 48 | COPPI Fausto | 72 |
| 990 | ERNZER Marcel | 69 |