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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Belloni
2
75 kgBuysse
3
72 kgCanepari
4
62 kgGremo
6
74 kgGodivier
11
71 kgSala
13
62 kgPratesi
14
74 kg
2
75 kgBuysse
3
72 kgCanepari
4
62 kgGremo
6
74 kgGodivier
11
71 kgSala
13
62 kgPratesi
14
74 kg
Weight (KG) →
Result →
75
62
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BELLONI Gaetano | 75 |
| 3 | BUYSSE Marcel | 72 |
| 4 | CANEPARI Clemente | 62 |
| 6 | GREMO Angelo | 74 |
| 11 | GODIVIER Marcel | 71 |
| 13 | SALA Enrico | 62 |
| 14 | PRATESI Ottavio | 74 |