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 = -0.2 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kuiper
10
69 kgTamames
11
66 kgTischler
15
79 kgMortensen
17
70 kgLasa
27
68 kgSchleck
35
72 kgGavazzi
47
67 kgDíaz
52
72 kg
10
69 kgTamames
11
66 kgTischler
15
79 kgMortensen
17
70 kgLasa
27
68 kgSchleck
35
72 kgGavazzi
47
67 kgDíaz
52
72 kg
Weight (KG) →
Result →
79
66
10
52
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | KUIPER Hennie | 69 |
| 11 | TAMAMES Agustín | 66 |
| 15 | TISCHLER Erwin | 79 |
| 17 | MORTENSEN Leif | 70 |
| 27 | LASA Miguel María | 68 |
| 35 | SCHLECK Johny | 72 |
| 47 | GAVAZZI Pierino | 67 |
| 52 | DÍAZ Ventura | 72 |