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 = 142.5 * weight - 9353
This means that on average for every extra kilogram weight a rider loses 142.5 positions in the result.
Lasa
4
68 kgFernández
12
68 kgMarcussen
990
70 kgLadrón
990
74 kgBittinger
990
69 kg
4
68 kgFernández
12
68 kgMarcussen
990
70 kgLadrón
990
74 kgBittinger
990
69 kg
Weight (KG) →
Result →
74
68
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LASA Miguel María | 68 |
| 12 | FERNÁNDEZ Juan | 68 |
| 990 | MARCUSSEN Jørgen | 70 |
| 990 | LADRÓN Rafael | 74 |
| 990 | BITTINGER René | 69 |