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 = 2.4 * weight - 152
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Gavazzi
3
67 kgTamames
4
66 kgKuiper
8
69 kgSchleck
16
72 kgLasa
17
68 kgDíaz
21
72 kg
3
67 kgTamames
4
66 kgKuiper
8
69 kgSchleck
16
72 kgLasa
17
68 kgDíaz
21
72 kg
Weight (KG) →
Result →
72
66
3
21
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GAVAZZI Pierino | 67 |
| 4 | TAMAMES Agustín | 66 |
| 8 | KUIPER Hennie | 69 |
| 16 | SCHLECK Johny | 72 |
| 17 | LASA Miguel María | 68 |
| 21 | DÍAZ Ventura | 72 |