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 = -0.3 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Baronchelli
3
72 kgGavazzi
10
67 kgVan Impe
14
59 kgJohansson
17
71 kgVandi
24
64 kgMarcussen
26
70 kg
3
72 kgGavazzi
10
67 kgVan Impe
14
59 kgJohansson
17
71 kgVandi
24
64 kgMarcussen
26
70 kg
Weight (KG) →
Result →
72
59
3
26
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BARONCHELLI Gianbattista | 72 |
| 10 | GAVAZZI Pierino | 67 |
| 14 | VAN IMPE Lucien | 59 |
| 17 | JOHANSSON Bernt | 71 |
| 24 | VANDI Alfio | 64 |
| 26 | MARCUSSEN Jørgen | 70 |