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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Tulik
1
64 kgCoquard
3
59 kgGuillemois
4
66 kgEzquerra
7
68 kgAlafaci
8
77 kgBarbero
9
66 kgMaurelet
10
56 kg
1
64 kgCoquard
3
59 kgGuillemois
4
66 kgEzquerra
7
68 kgAlafaci
8
77 kgBarbero
9
66 kgMaurelet
10
56 kg
Weight (KG) →
Result →
77
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TULIK Angélo | 64 |
| 3 | COQUARD Bryan | 59 |
| 4 | GUILLEMOIS Romain | 66 |
| 7 | EZQUERRA Jesús | 68 |
| 8 | ALAFACI Eugenio | 77 |
| 9 | BARBERO Carlos | 66 |
| 10 | MAURELET Flavien | 56 |