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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Alavoine
1
73 kgBuysse
2
72 kgBelloni
3
75 kgBrunero
4
66 kgGremo
5
74 kgPetiva
6
71 kgSala
8
62 kg
1
73 kgBuysse
2
72 kgBelloni
3
75 kgBrunero
4
66 kgGremo
5
74 kgPetiva
6
71 kgSala
8
62 kg
Weight (KG) →
Result →
75
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALAVOINE Jean | 73 |
| 2 | BUYSSE Marcel | 72 |
| 3 | BELLONI Gaetano | 75 |
| 4 | BRUNERO Giovanni | 66 |
| 5 | GREMO Angelo | 74 |
| 6 | PETIVA Emilio | 71 |
| 8 | SALA Enrico | 62 |