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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Brunero
2
66 kgGremo
3
74 kgBelloni
4
75 kgGordini
8
89 kgBuysse
9
72 kgCominetti
10
67 kg
2
66 kgGremo
3
74 kgBelloni
4
75 kgGordini
8
89 kgBuysse
9
72 kgCominetti
10
67 kg
Weight (KG) →
Result →
89
66
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRUNERO Giovanni | 66 |
| 3 | GREMO Angelo | 74 |
| 4 | BELLONI Gaetano | 75 |
| 8 | GORDINI Michele | 89 |
| 9 | BUYSSE Marcel | 72 |
| 10 | COMINETTI Alfredo | 67 |