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 = -1.2 * weight + 91
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Martinelli
3
74 kgGavazzi
4
67 kgArgentin
6
66 kgVandi
20
64 kgAlgeri
25
68 kg
3
74 kgGavazzi
4
67 kgArgentin
6
66 kgVandi
20
64 kgAlgeri
25
68 kg
Weight (KG) →
Result →
74
64
3
25
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MARTINELLI Giuseppe | 74 |
| 4 | GAVAZZI Pierino | 67 |
| 6 | ARGENTIN Moreno | 66 |
| 20 | VANDI Alfio | 64 |
| 25 | ALGERI Vittorio | 68 |