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 = -32.6 * weight + 2485
This means that on average for every extra kilogram weight a rider loses -32.6 positions in the result.
Ladrón
6
74 kgFernández
9
68 kgMarcussen
11
70 kgLasa
16
68 kgBittinger
990
69 kg
6
74 kgFernández
9
68 kgMarcussen
11
70 kgLasa
16
68 kgBittinger
990
69 kg
Weight (KG) →
Result →
74
68
6
990
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | LADRÓN Rafael | 74 |
| 9 | FERNÁNDEZ Juan | 68 |
| 11 | MARCUSSEN Jørgen | 70 |
| 16 | LASA Miguel María | 68 |
| 990 | BITTINGER René | 69 |