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 = 3.7 * weight - 229
This means that on average for every extra kilogram weight a rider loses 3.7 positions in the result.
Fernández
4
68 kgLasa
10
68 kgLadrón
35
74 kgMarcussen
44
70 kgBittinger
49
69 kg
4
68 kgLasa
10
68 kgLadrón
35
74 kgMarcussen
44
70 kgBittinger
49
69 kg
Weight (KG) →
Result →
74
68
4
49
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FERNÁNDEZ Juan | 68 |
| 10 | LASA Miguel María | 68 |
| 35 | LADRÓN Rafael | 74 |
| 44 | MARCUSSEN Jørgen | 70 |
| 49 | BITTINGER René | 69 |