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 = 1.3 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Hutarovich
1
71 kgPalini
2
67 kgFonseca
3
56 kgPetit
5
80 kgOkubamariam
8
60 kgHaddi
9
63 kgJarrier
10
69 kgHoller
11
58 kgPiedra
13
61 kgJelloul
15
58 kgDelaplace
17
65 kgLahsaini
22
77 kgAfewerki
24
63 kgNauleau
25
67 kgHurel
27
66 kgGène
32
67 kgFeillu
34
69 kgLagab
46
63 kgTronet
47
67 kgAreruya
48
74 kgMancebo
54
64 kgVoeckler
65
71 kgPichot
66
72 kgHasnaoui
74
80 kg
1
71 kgPalini
2
67 kgFonseca
3
56 kgPetit
5
80 kgOkubamariam
8
60 kgHaddi
9
63 kgJarrier
10
69 kgHoller
11
58 kgPiedra
13
61 kgJelloul
15
58 kgDelaplace
17
65 kgLahsaini
22
77 kgAfewerki
24
63 kgNauleau
25
67 kgHurel
27
66 kgGène
32
67 kgFeillu
34
69 kgLagab
46
63 kgTronet
47
67 kgAreruya
48
74 kgMancebo
54
64 kgVoeckler
65
71 kgPichot
66
72 kgHasnaoui
74
80 kg
Weight (KG) →
Result →
80
56
1
74
# | Rider | Weight (KG) |
---|---|---|
1 | HUTAROVICH Yauheni | 71 |
2 | PALINI Andrea | 67 |
3 | FONSECA Armindo | 56 |
5 | PETIT Adrien | 80 |
8 | OKUBAMARIAM Tesfom | 60 |
9 | HADDI Soufiane | 63 |
10 | JARRIER Benoît | 69 |
11 | HOLLER Nikodemus | 58 |
13 | PIEDRA Antonio | 61 |
15 | JELLOUL Adil | 58 |
17 | DELAPLACE Anthony | 65 |
22 | LAHSAINI Mouhssine | 77 |
24 | AFEWERKI Elyas | 63 |
25 | NAULEAU Bryan | 67 |
27 | HUREL Tony | 66 |
32 | GÈNE Yohann | 67 |
34 | FEILLU Brice | 69 |
46 | LAGAB Azzedine | 63 |
47 | TRONET Steven | 67 |
48 | ARERUYA Joseph | 74 |
54 | MANCEBO Francisco | 64 |
65 | VOECKLER Thomas | 71 |
66 | PICHOT Alexandre | 72 |
74 | HASNAOUI Maher | 80 |