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 - 98
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Lasa
7
68 kgTamames
9
66 kgKuiper
10
69 kgDíaz
24
72 kgSchleck
28
72 kgGavazzi
34
67 kg
7
68 kgTamames
9
66 kgKuiper
10
69 kgDíaz
24
72 kgSchleck
28
72 kgGavazzi
34
67 kg
Weight (KG) →
Result →
72
66
7
34
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | LASA Miguel María | 68 |
| 9 | TAMAMES Agustín | 66 |
| 10 | KUIPER Hennie | 69 |
| 24 | DÍAZ Ventura | 72 |
| 28 | SCHLECK Johny | 72 |
| 34 | GAVAZZI Pierino | 67 |