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 = -2.5 * weight + 203
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Wiggins
1
75 kgFontaine
2
70 kgSentjens
6
85 kgBlaise
9
73 kgGrindley
11
72 kgDe Schuyteneer
14
74 kgMarsh
16
66 kgSierra
17
70 kgScheitinger
21
77 kgSchoofs
27
68 kgL'Hote
28
67 kgThompson
30
72 kgScheldeman
34
66 kgNovák
39
63 kgGiuliano
43
63 kgLospitao
44
67.5 kgCapra
51
73 kgGrupp
54
67 kgFujimura
60
63 kgGottstein
62
68 kgOkazaki
84
65 kg
1
75 kgFontaine
2
70 kgSentjens
6
85 kgBlaise
9
73 kgGrindley
11
72 kgDe Schuyteneer
14
74 kgMarsh
16
66 kgSierra
17
70 kgScheitinger
21
77 kgSchoofs
27
68 kgL'Hote
28
67 kgThompson
30
72 kgScheldeman
34
66 kgNovák
39
63 kgGiuliano
43
63 kgLospitao
44
67.5 kgCapra
51
73 kgGrupp
54
67 kgFujimura
60
63 kgGottstein
62
68 kgOkazaki
84
65 kg
Weight (KG) →
Result →
85
63
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIGGINS Ben | 75 |
| 2 | FONTAINE Titouan | 70 |
| 6 | SENTJENS Sente | 85 |
| 9 | BLAISE Arthur | 73 |
| 11 | GRINDLEY Sebastian | 72 |
| 14 | DE SCHUYTENEER Steffen | 74 |
| 16 | MARSH Ben | 66 |
| 17 | SIERRA Juan David | 70 |
| 21 | SCHEITINGER Linus | 77 |
| 27 | SCHOOFS Jasper | 68 |
| 28 | L'HOTE Antoine | 67 |
| 30 | THOMPSON David | 72 |
| 34 | SCHELDEMAN Xander | 66 |
| 39 | NOVÁK Samuel | 63 |
| 43 | GIULIANO Dario | 63 |
| 44 | LOSPITAO Pablo | 67.5 |
| 51 | CAPRA Thomas | 73 |
| 54 | GRUPP Louis | 67 |
| 60 | FUJIMURA Kazuma | 63 |
| 62 | GOTTSTEIN Simon | 68 |
| 84 | OKAZAKI Kazuki | 65 |