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 = 9.3 * weight - 462
This means that on average for every extra kilogram weight a rider loses 9.3 positions in the result.
Gaul
5
64 kgBobet
13
74 kgDe Bruyne
20
68 kgCoppi
32
72 kgErnzer
45
69 kgDerycke
990
70 kg
5
64 kgBobet
13
74 kgDe Bruyne
20
68 kgCoppi
32
72 kgErnzer
45
69 kgDerycke
990
70 kg
Weight (KG) →
Result →
74
64
5
990
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GAUL Charly | 64 |
| 13 | BOBET Louison | 74 |
| 20 | DE BRUYNE Alfred | 68 |
| 32 | COPPI Fausto | 72 |
| 45 | ERNZER Marcel | 69 |
| 990 | DERYCKE Germain | 70 |