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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Tamames
2
66 kgDe Vlaeminck
7
74 kgElorriaga
8
85 kgMarcussen
11
70 kgAja
13
66 kgDíaz
21
72 kgGavazzi
31
67 kg
2
66 kgDe Vlaeminck
7
74 kgElorriaga
8
85 kgMarcussen
11
70 kgAja
13
66 kgDíaz
21
72 kgGavazzi
31
67 kg
Weight (KG) →
Result →
85
66
2
31
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMAMES Agustín | 66 |
| 7 | DE VLAEMINCK Roger | 74 |
| 8 | ELORRIAGA Javier Francisco | 85 |
| 11 | MARCUSSEN Jørgen | 70 |
| 13 | AJA Gonzalo | 66 |
| 21 | DÍAZ Ventura | 72 |
| 31 | GAVAZZI Pierino | 67 |