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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Leducq
1
76 kgFrantz
3
78 kgBenoît
4
72 kgBuysse
5
68 kgRonsse
6
77 kgCañardo
7
77 kgFontan
8
66 kg
1
76 kgFrantz
3
78 kgBenoît
4
72 kgBuysse
5
68 kgRonsse
6
77 kgCañardo
7
77 kgFontan
8
66 kg
Weight (KG) →
Result →
78
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEDUCQ André | 76 |
| 3 | FRANTZ Nicolas | 78 |
| 4 | BENOÎT Adelin | 72 |
| 5 | BUYSSE Lucien | 68 |
| 6 | RONSSE Georges | 77 |
| 7 | CAÑARDO Mariano | 77 |
| 8 | FONTAN Victor | 66 |