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 = 32.4 * weight - 1917
This means that on average for every extra kilogram weight a rider loses 32.4 positions in the result.
Derycke
2
70 kgDe Bruyne
6
68 kgBobet
15
74 kgGaul
20
64 kgCoppi
990
72 kgErnzer
990
69 kg
2
70 kgDe Bruyne
6
68 kgBobet
15
74 kgGaul
20
64 kgCoppi
990
72 kgErnzer
990
69 kg
Weight (KG) →
Result →
74
64
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DERYCKE Germain | 70 |
| 6 | DE BRUYNE Alfred | 68 |
| 15 | BOBET Louison | 74 |
| 20 | GAUL Charly | 64 |
| 990 | COPPI Fausto | 72 |
| 990 | ERNZER Marcel | 69 |