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 + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Godivier
3
71 kgBelloni
4
75 kgBuysse
6
72 kgLucotti
7
67 kgCanepari
9
62 kg
3
71 kgBelloni
4
75 kgBuysse
6
72 kgLucotti
7
67 kgCanepari
9
62 kg
Weight (KG) →
Result →
75
62
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GODIVIER Marcel | 71 |
| 4 | BELLONI Gaetano | 75 |
| 6 | BUYSSE Marcel | 72 |
| 7 | LUCOTTI Luigi Natale | 67 |
| 9 | CANEPARI Clemente | 62 |