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 = 1.4 * weight - 71
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Petit
1
80 kgPalini
2
67 kgDelaplace
3
65 kgOkubamariam
4
60 kgFonseca
5
56 kgJelloul
6
58 kgJarrier
7
69 kgNauleau
8
67 kgHaddi
9
63 kgAfewerki
10
63 kgHoller
11
58 kgHurel
14
66 kgGène
16
67 kgLahsaini
18
77 kgHutarovich
19
71 kgFeillu
23
69 kgLagab
24
63 kgTronet
31
67 kgMancebo
46
64 kgPiedra
47
61 kgVoeckler
53
71 kgPichot
61
72 kgAreruya
63
74 kgHasnaoui
72
80 kg
1
80 kgPalini
2
67 kgDelaplace
3
65 kgOkubamariam
4
60 kgFonseca
5
56 kgJelloul
6
58 kgJarrier
7
69 kgNauleau
8
67 kgHaddi
9
63 kgAfewerki
10
63 kgHoller
11
58 kgHurel
14
66 kgGène
16
67 kgLahsaini
18
77 kgHutarovich
19
71 kgFeillu
23
69 kgLagab
24
63 kgTronet
31
67 kgMancebo
46
64 kgPiedra
47
61 kgVoeckler
53
71 kgPichot
61
72 kgAreruya
63
74 kgHasnaoui
72
80 kg
Weight (KG) →
Result →
80
56
1
72
# | Rider | Weight (KG) |
---|---|---|
1 | PETIT Adrien | 80 |
2 | PALINI Andrea | 67 |
3 | DELAPLACE Anthony | 65 |
4 | OKUBAMARIAM Tesfom | 60 |
5 | FONSECA Armindo | 56 |
6 | JELLOUL Adil | 58 |
7 | JARRIER Benoît | 69 |
8 | NAULEAU Bryan | 67 |
9 | HADDI Soufiane | 63 |
10 | AFEWERKI Elyas | 63 |
11 | HOLLER Nikodemus | 58 |
14 | HUREL Tony | 66 |
16 | GÈNE Yohann | 67 |
18 | LAHSAINI Mouhssine | 77 |
19 | HUTAROVICH Yauheni | 71 |
23 | FEILLU Brice | 69 |
24 | LAGAB Azzedine | 63 |
31 | TRONET Steven | 67 |
46 | MANCEBO Francisco | 64 |
47 | PIEDRA Antonio | 61 |
53 | VOECKLER Thomas | 71 |
61 | PICHOT Alexandre | 72 |
63 | ARERUYA Joseph | 74 |
72 | HASNAOUI Maher | 80 |