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 = 1.1 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Lasa
2
68 kgMarcussen
7
70 kgFernández
17
68 kgElorriaga
24
85 kgLadrón
30
74 kgDierickx
37
74 kg
2
68 kgMarcussen
7
70 kgFernández
17
68 kgElorriaga
24
85 kgLadrón
30
74 kgDierickx
37
74 kg
Weight (KG) →
Result →
85
68
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LASA Miguel María | 68 |
| 7 | MARCUSSEN Jørgen | 70 |
| 17 | FERNÁNDEZ Juan | 68 |
| 24 | ELORRIAGA Javier Francisco | 85 |
| 30 | LADRÓN Rafael | 74 |
| 37 | DIERICKX André | 74 |