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 = 8.4 * weight - 404
This means that on average for every extra kilogram weight a rider loses 8.4 positions in the result.
Bobet
3
74 kgDe Bruyne
8
68 kgGaul
14
64 kgErnzer
21
69 kgCoppi
36
72 kgDerycke
990
70 kg
3
74 kgDe Bruyne
8
68 kgGaul
14
64 kgErnzer
21
69 kgCoppi
36
72 kgDerycke
990
70 kg
Weight (KG) →
Result →
74
64
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOBET Louison | 74 |
| 8 | DE BRUYNE Alfred | 68 |
| 14 | GAUL Charly | 64 |
| 21 | ERNZER Marcel | 69 |
| 36 | COPPI Fausto | 72 |
| 990 | DERYCKE Germain | 70 |