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 = 48.9 * weight - 3059
This means that on average for every extra kilogram weight a rider loses 48.9 positions in the result.
Bobet
11
74 kgDe Bruyne
12
68 kgGaul
13
64 kgErnzer
36
69 kgCoppi
990
72 kgDerycke
990
70 kg
11
74 kgDe Bruyne
12
68 kgGaul
13
64 kgErnzer
36
69 kgCoppi
990
72 kgDerycke
990
70 kg
Weight (KG) →
Result →
74
64
11
990
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | BOBET Louison | 74 |
| 12 | DE BRUYNE Alfred | 68 |
| 13 | GAUL Charly | 64 |
| 36 | ERNZER Marcel | 69 |
| 990 | COPPI Fausto | 72 |
| 990 | DERYCKE Germain | 70 |