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 = 0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bobet
8
74 kgDe Bruyne
10
68 kgGaul
13
64 kgCoppi
20
72 kgErnzer
28
69 kgDerycke
36
70 kg
8
74 kgDe Bruyne
10
68 kgGaul
13
64 kgCoppi
20
72 kgErnzer
28
69 kgDerycke
36
70 kg
Weight (KG) →
Result →
74
64
8
36
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | BOBET Louison | 74 |
| 10 | DE BRUYNE Alfred | 68 |
| 13 | GAUL Charly | 64 |
| 20 | COPPI Fausto | 72 |
| 28 | ERNZER Marcel | 69 |
| 36 | DERYCKE Germain | 70 |