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 - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Fontan
1
66 kgBuysse
2
68 kgRonsse
3
77 kgLeducq
5
76 kgDossche
6
75 kgBenoît
7
72 kgFrantz
8
78 kg
1
66 kgBuysse
2
68 kgRonsse
3
77 kgLeducq
5
76 kgDossche
6
75 kgBenoît
7
72 kgFrantz
8
78 kg
Weight (KG) →
Result →
78
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONTAN Victor | 66 |
| 2 | BUYSSE Lucien | 68 |
| 3 | RONSSE Georges | 77 |
| 5 | LEDUCQ André | 76 |
| 6 | DOSSCHE Aimé | 75 |
| 7 | BENOÎT Adelin | 72 |
| 8 | FRANTZ Nicolas | 78 |