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 = 0.5 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Lasa
11
68 kgKuiper
19
69 kgTamames
21
66 kgSchleck
31
72 kgDíaz
32
72 kgGavazzi
49
67 kg
11
68 kgKuiper
19
69 kgTamames
21
66 kgSchleck
31
72 kgDíaz
32
72 kgGavazzi
49
67 kg
Weight (KG) →
Result →
72
66
11
49
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | LASA Miguel María | 68 |
| 19 | KUIPER Hennie | 69 |
| 21 | TAMAMES Agustín | 66 |
| 31 | SCHLECK Johny | 72 |
| 32 | DÍAZ Ventura | 72 |
| 49 | GAVAZZI Pierino | 67 |