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 = 1.3 * weight - 72
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Gavazzi
3
67 kgKuiper
11
69 kgTamames
15
66 kgSchleck
19
72 kgDíaz
25
72 kgLasa
39
68 kg
3
67 kgKuiper
11
69 kgTamames
15
66 kgSchleck
19
72 kgDíaz
25
72 kgLasa
39
68 kg
Weight (KG) →
Result →
72
66
3
39
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GAVAZZI Pierino | 67 |
| 11 | KUIPER Hennie | 69 |
| 15 | TAMAMES Agustín | 66 |
| 19 | SCHLECK Johny | 72 |
| 25 | DÍAZ Ventura | 72 |
| 39 | LASA Miguel María | 68 |