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 = -0.8 * weight + 92
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
L'Hote
4
67 kgSierra
11
70 kgGiuliano
12
63 kgDe Schuyteneer
14
74 kgGrindley
21
72 kgGottstein
22
68 kgScheldeman
25
66 kgSentjens
27
85 kgScheitinger
28
77 kgGrupp
29
67 kgBlaise
30
73 kgWiggins
34
75 kgNovák
39
63 kgMarsh
44
66 kgFontaine
47
70 kgThompson
48
72 kgLospitao
59
67.5 kgFujimura
64
63 kgSchoofs
67
68 kgCapra
69
73 kgOkazaki
83
65 kg
4
67 kgSierra
11
70 kgGiuliano
12
63 kgDe Schuyteneer
14
74 kgGrindley
21
72 kgGottstein
22
68 kgScheldeman
25
66 kgSentjens
27
85 kgScheitinger
28
77 kgGrupp
29
67 kgBlaise
30
73 kgWiggins
34
75 kgNovák
39
63 kgMarsh
44
66 kgFontaine
47
70 kgThompson
48
72 kgLospitao
59
67.5 kgFujimura
64
63 kgSchoofs
67
68 kgCapra
69
73 kgOkazaki
83
65 kg
Weight (KG) →
Result →
85
63
4
83
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | L'HOTE Antoine | 67 |
| 11 | SIERRA Juan David | 70 |
| 12 | GIULIANO Dario | 63 |
| 14 | DE SCHUYTENEER Steffen | 74 |
| 21 | GRINDLEY Sebastian | 72 |
| 22 | GOTTSTEIN Simon | 68 |
| 25 | SCHELDEMAN Xander | 66 |
| 27 | SENTJENS Sente | 85 |
| 28 | SCHEITINGER Linus | 77 |
| 29 | GRUPP Louis | 67 |
| 30 | BLAISE Arthur | 73 |
| 34 | WIGGINS Ben | 75 |
| 39 | NOVÁK Samuel | 63 |
| 44 | MARSH Ben | 66 |
| 47 | FONTAINE Titouan | 70 |
| 48 | THOMPSON David | 72 |
| 59 | LOSPITAO Pablo | 67.5 |
| 64 | FUJIMURA Kazuma | 63 |
| 67 | SCHOOFS Jasper | 68 |
| 69 | CAPRA Thomas | 73 |
| 83 | OKAZAKI Kazuki | 65 |