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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Leducq
1
76 kgFrantz
2
78 kgBenoît
3
72 kgFontan
4
66 kgCañardo
5
77 kgBuysse
8
68 kgDelbecque
9
60 kgCepeda
10
64 kg
1
76 kgFrantz
2
78 kgBenoît
3
72 kgFontan
4
66 kgCañardo
5
77 kgBuysse
8
68 kgDelbecque
9
60 kgCepeda
10
64 kg
Weight (KG) →
Result →
78
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEDUCQ André | 76 |
| 2 | FRANTZ Nicolas | 78 |
| 3 | BENOÎT Adelin | 72 |
| 4 | FONTAN Victor | 66 |
| 5 | CAÑARDO Mariano | 77 |
| 8 | BUYSSE Lucien | 68 |
| 9 | DELBECQUE Julien | 60 |
| 10 | CEPEDA Francisco | 64 |