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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
De Plus
1
67 kgPetilli
2
65 kgVincent
3
62 kgMaison
4
61 kgMartin
5
55 kgParet-Peintre
6
64 kgVan Gestel
9
74 kgVermeulen
11
66 kgCosnefroy
13
65 kgGaudu
14
53 kgOurselin
16
70 kgCarboni
17
61 kgRota
19
62 kgCras
20
65 kgRochas
21
51 kgRuyters
25
69 kgLe Turnier
26
65 kgBarta
30
61 kgNardelli
35
62 kg
1
67 kgPetilli
2
65 kgVincent
3
62 kgMaison
4
61 kgMartin
5
55 kgParet-Peintre
6
64 kgVan Gestel
9
74 kgVermeulen
11
66 kgCosnefroy
13
65 kgGaudu
14
53 kgOurselin
16
70 kgCarboni
17
61 kgRota
19
62 kgCras
20
65 kgRochas
21
51 kgRuyters
25
69 kgLe Turnier
26
65 kgBarta
30
61 kgNardelli
35
62 kg
Weight (KG) →
Result →
74
51
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE PLUS Laurens | 67 |
| 2 | PETILLI Simone | 65 |
| 3 | VINCENT Léo | 62 |
| 4 | MAISON Jérémy | 61 |
| 5 | MARTIN Guillaume | 55 |
| 6 | PARET-PEINTRE Aurélien | 64 |
| 9 | VAN GESTEL Dries | 74 |
| 11 | VERMEULEN Alexey | 66 |
| 13 | COSNEFROY Benoît | 65 |
| 14 | GAUDU David | 53 |
| 16 | OURSELIN Paul | 70 |
| 17 | CARBONI Giovanni | 61 |
| 19 | ROTA Lorenzo | 62 |
| 20 | CRAS Steff | 65 |
| 21 | ROCHAS Rémy | 51 |
| 25 | RUYTERS Brecht | 69 |
| 26 | LE TURNIER Mathias | 65 |
| 30 | BARTA Will | 61 |
| 35 | NARDELLI Stefano | 62 |