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 = -1.6 * weight + 152
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Fontaine
1
70 kgWiggins
2
75 kgSierra
4
70 kgGrindley
5
72 kgBlaise
10
73 kgL'Hote
12
67 kgCapra
16
73 kgDe Schuyteneer
19
74 kgGiuliano
26
63 kgScheitinger
27
77 kgLospitao
28
67.5 kgScheldeman
33
66 kgMarsh
37
66 kgThompson
41
72 kgNovák
48
63 kgSentjens
50
85 kgSchoofs
56
68 kgSambinello
57
66 kgGrupp
61
67 kgFujimura
82
63 kgGottstein
85
68 kgBeisembay
86
73 kgOkazaki
102
65 kg
1
70 kgWiggins
2
75 kgSierra
4
70 kgGrindley
5
72 kgBlaise
10
73 kgL'Hote
12
67 kgCapra
16
73 kgDe Schuyteneer
19
74 kgGiuliano
26
63 kgScheitinger
27
77 kgLospitao
28
67.5 kgScheldeman
33
66 kgMarsh
37
66 kgThompson
41
72 kgNovák
48
63 kgSentjens
50
85 kgSchoofs
56
68 kgSambinello
57
66 kgGrupp
61
67 kgFujimura
82
63 kgGottstein
85
68 kgBeisembay
86
73 kgOkazaki
102
65 kg
Weight (KG) →
Result →
85
63
1
102
# | Rider | Weight (KG) |
---|---|---|
1 | FONTAINE Titouan | 70 |
2 | WIGGINS Ben | 75 |
4 | SIERRA Juan David | 70 |
5 | GRINDLEY Sebastian | 72 |
10 | BLAISE Arthur | 73 |
12 | L'HOTE Antoine | 67 |
16 | CAPRA Thomas | 73 |
19 | DE SCHUYTENEER Steffen | 74 |
26 | GIULIANO Dario | 63 |
27 | SCHEITINGER Linus | 77 |
28 | LOSPITAO Pablo | 67.5 |
33 | SCHELDEMAN Xander | 66 |
37 | MARSH Ben | 66 |
41 | THOMPSON David | 72 |
48 | NOVÁK Samuel | 63 |
50 | SENTJENS Sente | 85 |
56 | SCHOOFS Jasper | 68 |
57 | SAMBINELLO Mattia | 66 |
61 | GRUPP Louis | 67 |
82 | FUJIMURA Kazuma | 63 |
85 | GOTTSTEIN Simon | 68 |
86 | BEISEMBAY Mansur | 73 |
102 | OKAZAKI Kazuki | 65 |