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 = 0.1 * weight + 33
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Lasa
31
68 kgFernández
37
68 kgLadrón
40
74 kgMarcussen
41
70 kgBittinger
63
69 kg
31
68 kgFernández
37
68 kgLadrón
40
74 kgMarcussen
41
70 kgBittinger
63
69 kg
Weight (KG) →
Result →
74
68
31
63
| # | Rider | Weight (KG) |
|---|---|---|
| 31 | LASA Miguel María | 68 |
| 37 | FERNÁNDEZ Juan | 68 |
| 40 | LADRÓN Rafael | 74 |
| 41 | MARCUSSEN Jørgen | 70 |
| 63 | BITTINGER René | 69 |