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 = 4.1 * weight - 238
This means that on average for every extra kilogram weight a rider loses 4.1 positions in the result.
Bouhanni
1
65 kgBelgy
2
68 kgLaborie
4
67 kgCardoso
6
56 kgTortelier
15
63 kgMestre
24
65 kgGiraud
25
71 kgKwiatkowski
29
68 kgLindeman
30
69 kgPoux
35
70 kgPaillot
37
72 kgSilva
38
71 kgJules
44
64 kgGarcía
51
70 kgPatanchon
54
69 kgSanchez
61
75 kgNorris
68
67 kgReza
69
71 kgCaldeira
74
76 kgBarbosa
75
72 kgBartko
82
78 kgLangella
87
76 kgSáez
92
70 kgSchulting
109
70 kg
1
65 kgBelgy
2
68 kgLaborie
4
67 kgCardoso
6
56 kgTortelier
15
63 kgMestre
24
65 kgGiraud
25
71 kgKwiatkowski
29
68 kgLindeman
30
69 kgPoux
35
70 kgPaillot
37
72 kgSilva
38
71 kgJules
44
64 kgGarcía
51
70 kgPatanchon
54
69 kgSanchez
61
75 kgNorris
68
67 kgReza
69
71 kgCaldeira
74
76 kgBarbosa
75
72 kgBartko
82
78 kgLangella
87
76 kgSáez
92
70 kgSchulting
109
70 kg
Weight (KG) →
Result →
78
56
1
109
# | Rider | Weight (KG) |
---|---|---|
1 | BOUHANNI Nacer | 65 |
2 | BELGY Julien | 68 |
4 | LABORIE Christophe | 67 |
6 | CARDOSO André | 56 |
15 | TORTELIER Etienne | 63 |
24 | MESTRE Daniel | 65 |
25 | GIRAUD Benjamin | 71 |
29 | KWIATKOWSKI Michał | 68 |
30 | LINDEMAN Bert-Jan | 69 |
35 | POUX Paul | 70 |
37 | PAILLOT Yoann | 72 |
38 | SILVA Luis Filipe | 71 |
44 | JULES Justin | 64 |
51 | GARCÍA Egoitz | 70 |
54 | PATANCHON Fabien | 69 |
61 | SANCHEZ Fabien | 75 |
68 | NORRIS Lachlan | 67 |
69 | REZA Kévin | 71 |
74 | CALDEIRA Samuel José | 76 |
75 | BARBOSA Cândido | 72 |
82 | BARTKO Robert | 78 |
87 | LANGELLA Anthony | 76 |
92 | SÁEZ Adrián | 70 |
109 | SCHULTING Peter | 70 |