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 = 1.7 * weight - 99
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Lasa
8
68 kgKuiper
10
69 kgTamames
14
66 kgDíaz
23
72 kgGavazzi
30
67 kgSchleck
32
72 kg
8
68 kgKuiper
10
69 kgTamames
14
66 kgDíaz
23
72 kgGavazzi
30
67 kgSchleck
32
72 kg
Weight (KG) →
Result →
72
66
8
32
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | LASA Miguel María | 68 |
| 10 | KUIPER Hennie | 69 |
| 14 | TAMAMES Agustín | 66 |
| 23 | DÍAZ Ventura | 72 |
| 30 | GAVAZZI Pierino | 67 |
| 32 | SCHLECK Johny | 72 |