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 = 2.8 * weight - 181
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Tamames
1
66 kgGavazzi
3
67 kgLasa
5
68 kgKuiper
8
69 kgDíaz
15
72 kgSchleck
19
72 kg
1
66 kgGavazzi
3
67 kgLasa
5
68 kgKuiper
8
69 kgDíaz
15
72 kgSchleck
19
72 kg
Weight (KG) →
Result →
72
66
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMAMES Agustín | 66 |
| 3 | GAVAZZI Pierino | 67 |
| 5 | LASA Miguel María | 68 |
| 8 | KUIPER Hennie | 69 |
| 15 | DÍAZ Ventura | 72 |
| 19 | SCHLECK Johny | 72 |