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 = 2.6 * weight - 160
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Lasa
5
68 kgBittinger
15
69 kgFernández
24
68 kgLadrón
29
74 kgMarcussen
35
70 kg
5
68 kgBittinger
15
69 kgFernández
24
68 kgLadrón
29
74 kgMarcussen
35
70 kg
Weight (KG) →
Result →
74
68
5
35
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | LASA Miguel María | 68 |
| 15 | BITTINGER René | 69 |
| 24 | FERNÁNDEZ Juan | 68 |
| 29 | LADRÓN Rafael | 74 |
| 35 | MARCUSSEN Jørgen | 70 |