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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Palini
1
67 kgPetit
2
80 kgFonseca
3
56 kgHutarovich
4
71 kgOkubamariam
5
60 kgDelaplace
6
65 kgJarrier
7
69 kgGène
9
67 kgJelloul
10
58 kgAfewerki
11
63 kgHaddi
13
63 kgNauleau
15
67 kgHoller
17
58 kgAreruya
20
74 kgHurel
21
66 kgFeillu
22
69 kgPichot
27
72 kgLahsaini
28
77 kgTronet
29
67 kgVoeckler
30
71 kgMancebo
31
64 kgLagab
34
63 kgPiedra
36
61 kg
1
67 kgPetit
2
80 kgFonseca
3
56 kgHutarovich
4
71 kgOkubamariam
5
60 kgDelaplace
6
65 kgJarrier
7
69 kgGène
9
67 kgJelloul
10
58 kgAfewerki
11
63 kgHaddi
13
63 kgNauleau
15
67 kgHoller
17
58 kgAreruya
20
74 kgHurel
21
66 kgFeillu
22
69 kgPichot
27
72 kgLahsaini
28
77 kgTronet
29
67 kgVoeckler
30
71 kgMancebo
31
64 kgLagab
34
63 kgPiedra
36
61 kg
Weight (KG) →
Result →
80
56
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PALINI Andrea | 67 |
| 2 | PETIT Adrien | 80 |
| 3 | FONSECA Armindo | 56 |
| 4 | HUTAROVICH Yauheni | 71 |
| 5 | OKUBAMARIAM Tesfom | 60 |
| 6 | DELAPLACE Anthony | 65 |
| 7 | JARRIER Benoît | 69 |
| 9 | GÈNE Yohann | 67 |
| 10 | JELLOUL Adil | 58 |
| 11 | AFEWERKI Elyas | 63 |
| 13 | HADDI Soufiane | 63 |
| 15 | NAULEAU Bryan | 67 |
| 17 | HOLLER Nikodemus | 58 |
| 20 | ARERUYA Joseph | 74 |
| 21 | HUREL Tony | 66 |
| 22 | FEILLU Brice | 69 |
| 27 | PICHOT Alexandre | 72 |
| 28 | LAHSAINI Mouhssine | 77 |
| 29 | TRONET Steven | 67 |
| 30 | VOECKLER Thomas | 71 |
| 31 | MANCEBO Francisco | 64 |
| 34 | LAGAB Azzedine | 63 |
| 36 | PIEDRA Antonio | 61 |