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 = 9.8 * weight - 652
This means that on average for every extra kilogram weight a rider loses 9.8 positions in the result.
Fernández
4
68 kgLasa
16
68 kgBittinger
35
69 kgMarcussen
50
70 kgLadrón
71
74 kg
4
68 kgLasa
16
68 kgBittinger
35
69 kgMarcussen
50
70 kgLadrón
71
74 kg
Weight (KG) →
Result →
74
68
4
71
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FERNÁNDEZ Juan | 68 |
| 16 | LASA Miguel María | 68 |
| 35 | BITTINGER René | 69 |
| 50 | MARCUSSEN Jørgen | 70 |
| 71 | LADRÓN Rafael | 74 |