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 = 4.6 * weight - 291
This means that on average for every extra kilogram weight a rider loses 4.6 positions in the result.
Fernández
2
68 kgLasa
13
68 kgMarcussen
32
70 kgLadrón
42
74 kgBittinger
53
69 kg
2
68 kgLasa
13
68 kgMarcussen
32
70 kgLadrón
42
74 kgBittinger
53
69 kg
Weight (KG) →
Result →
74
68
2
53
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FERNÁNDEZ Juan | 68 |
| 13 | LASA Miguel María | 68 |
| 32 | MARCUSSEN Jørgen | 70 |
| 42 | LADRÓN Rafael | 74 |
| 53 | BITTINGER René | 69 |