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 = 48.4 * weight - 3020
This means that on average for every extra kilogram weight a rider loses 48.4 positions in the result.
Bobet
2
74 kgGaul
9
64 kgDe Bruyne
24
68 kgErnzer
32
69 kgCoppi
990
72 kgDerycke
990
70 kg
2
74 kgGaul
9
64 kgDe Bruyne
24
68 kgErnzer
32
69 kgCoppi
990
72 kgDerycke
990
70 kg
Weight (KG) →
Result →
74
64
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOBET Louison | 74 |
| 9 | GAUL Charly | 64 |
| 24 | DE BRUYNE Alfred | 68 |
| 32 | ERNZER Marcel | 69 |
| 990 | COPPI Fausto | 72 |
| 990 | DERYCKE Germain | 70 |