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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Fernández
2
68 kgSaronni
3
65 kgLasa
5
68 kgVan Impe
8
59 kgLadrón
16
74 kg
2
68 kgSaronni
3
65 kgLasa
5
68 kgVan Impe
8
59 kgLadrón
16
74 kg
Weight (KG) →
Result →
74
59
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FERNÁNDEZ Juan | 68 |
| 3 | SARONNI Giuseppe | 65 |
| 5 | LASA Miguel María | 68 |
| 8 | VAN IMPE Lucien | 59 |
| 16 | LADRÓN Rafael | 74 |