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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Verdyck
2
78 kgBenoît
3
72 kgVan de Casteele
4
79 kgChristophe
7
67 kgDossche
8
75 kgBidot
9
78 kgPé
10
68 kg
2
78 kgBenoît
3
72 kgVan de Casteele
4
79 kgChristophe
7
67 kgDossche
8
75 kgBidot
9
78 kgPé
10
68 kg
Weight (KG) →
Result →
79
67
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VERDYCK August | 78 |
| 3 | BENOÎT Adelin | 72 |
| 4 | VAN DE CASTEELE Camille | 79 |
| 7 | CHRISTOPHE Eugène | 67 |
| 8 | DOSSCHE Aimé | 75 |
| 9 | BIDOT Marcel | 78 |
| 10 | PÉ Joseph | 68 |