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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Cosnefroy
1
65 kgVernon
2
74 kgAlbanese
3
70 kgParet-Peintre
4
64 kgFlynn
5
67 kgVan Niekerk
6
64 kgBarré
7
68 kgCostiou
8
64 kgPerez
10
70 kgGrégoire
11
64 kgBoivin
12
78 kgDe Schuyteneer
14
74 kgDetalle
15
63 kgJegat
16
59 kgLabrosse
17
65 kgIzagirre
18
66 kgLienhard
19
73 kg
1
65 kgVernon
2
74 kgAlbanese
3
70 kgParet-Peintre
4
64 kgFlynn
5
67 kgVan Niekerk
6
64 kgBarré
7
68 kgCostiou
8
64 kgPerez
10
70 kgGrégoire
11
64 kgBoivin
12
78 kgDe Schuyteneer
14
74 kgDetalle
15
63 kgJegat
16
59 kgLabrosse
17
65 kgIzagirre
18
66 kgLienhard
19
73 kg
Weight (KG) →
Result →
78
59
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COSNEFROY Benoît | 65 |
| 2 | VERNON Ethan | 74 |
| 3 | ALBANESE Vincenzo | 70 |
| 4 | PARET-PEINTRE Aurélien | 64 |
| 5 | FLYNN Sean | 67 |
| 6 | VAN NIEKERK Morné | 64 |
| 7 | BARRÉ Louis | 68 |
| 8 | COSTIOU Ewen | 64 |
| 10 | PEREZ Anthony | 70 |
| 11 | GRÉGOIRE Romain | 64 |
| 12 | BOIVIN Guillaume | 78 |
| 14 | DE SCHUYTENEER Steffen | 74 |
| 15 | DETALLE Noah | 63 |
| 16 | JEGAT Jordan | 59 |
| 17 | LABROSSE Jordan | 65 |
| 18 | IZAGIRRE Gorka | 66 |
| 19 | LIENHARD Fabian | 73 |