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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Belloni
2
75 kgBrunero
3
66 kgBuysse
4
72 kgCanepari
5
62 kgGremo
7
74 kgGordini
10
89 kg
2
75 kgBrunero
3
66 kgBuysse
4
72 kgCanepari
5
62 kgGremo
7
74 kgGordini
10
89 kg
Weight (KG) →
Result →
89
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BELLONI Gaetano | 75 |
| 3 | BRUNERO Giovanni | 66 |
| 4 | BUYSSE Marcel | 72 |
| 5 | CANEPARI Clemente | 62 |
| 7 | GREMO Angelo | 74 |
| 10 | GORDINI Michele | 89 |