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 + 47
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Turgis
1
61 kgMontchamp
3
78 kgBoyer
4
67 kgFerron
9
67 kgJarnet
10
63 kgJullien
13
72 kgDebeaumarché
15
75 kgBurgaudeau
16
61 kgMariault
19
58 kgRopero
20
61 kgRojus
26
83 kgBrenans
31
63 kgGrignard
33
68 kgChevalier
39
60 kgPestiaux
41
58 kgMeunier
53
69 kgHelal
54
92 kgVandermeersch
62
75 kgLagnet
71
59 kgTesson
82
59 kgBellicaud
88
56 kgVan Vuchelen
90
74 kg
1
61 kgMontchamp
3
78 kgBoyer
4
67 kgFerron
9
67 kgJarnet
10
63 kgJullien
13
72 kgDebeaumarché
15
75 kgBurgaudeau
16
61 kgMariault
19
58 kgRopero
20
61 kgRojus
26
83 kgBrenans
31
63 kgGrignard
33
68 kgChevalier
39
60 kgPestiaux
41
58 kgMeunier
53
69 kgHelal
54
92 kgVandermeersch
62
75 kgLagnet
71
59 kgTesson
82
59 kgBellicaud
88
56 kgVan Vuchelen
90
74 kg
Weight (KG) →
Result →
92
56
1
90
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TURGIS Tanguy | 61 |
| 3 | MONTCHAMP Tristan | 78 |
| 4 | BOYER Kevin | 67 |
| 9 | FERRON Valentin | 67 |
| 10 | JARNET Maxime | 63 |
| 13 | JULLIEN Anthony | 72 |
| 15 | DEBEAUMARCHÉ Nicolas | 75 |
| 16 | BURGAUDEAU Mathieu | 61 |
| 19 | MARIAULT Axel | 58 |
| 20 | ROPERO Alejandro | 61 |
| 26 | ROJUS Adomaitis | 83 |
| 31 | BRENANS Emile | 63 |
| 33 | GRIGNARD Sébastien | 68 |
| 39 | CHEVALIER Maxime | 60 |
| 41 | PESTIAUX Yann | 58 |
| 53 | MEUNIER Lucas | 69 |
| 54 | HELAL Rayan | 92 |
| 62 | VANDERMEERSCH Emilien | 75 |
| 71 | LAGNET Gari | 59 |
| 82 | TESSON Jason | 59 |
| 88 | BELLICAUD Jeremy | 56 |
| 90 | VAN VUCHELEN Tom | 74 |