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 = -4.5 * weight + 342
This means that on average for every extra kilogram weight a rider loses -4.5 positions in the result.
Ladrón
7
74 kgLasa
21
68 kgBittinger
26
69 kgMarcussen
39
70 kgFernández
50
68 kg
7
74 kgLasa
21
68 kgBittinger
26
69 kgMarcussen
39
70 kgFernández
50
68 kg
Weight (KG) →
Result →
74
68
7
50
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | LADRÓN Rafael | 74 |
| 21 | LASA Miguel María | 68 |
| 26 | BITTINGER René | 69 |
| 39 | MARCUSSEN Jørgen | 70 |
| 50 | FERNÁNDEZ Juan | 68 |