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 = -3 * weight + 244
This means that on average for every extra kilogram weight a rider loses -3 positions in the result.
Sentjens
1
85 kgWiggins
4
75 kgDe Schuyteneer
9
74 kgFontaine
11
70 kgMarsh
12
66 kgSchoofs
13
68 kgBlaise
14
73 kgGrindley
17
72 kgScheitinger
20
77 kgFujimura
24
63 kgSierra
26
70 kgThompson
32
72 kgSambinello
40
66 kgL'Hote
43
67 kgBeisembay
44
73 kgCapra
47
73 kgScheldeman
49
66 kgNovák
57
63 kgGottstein
60
68 kgGiuliano
65
63 kgLospitao
74
67.5 kgGrupp
81
67 kgOkazaki
104
65 kg
1
85 kgWiggins
4
75 kgDe Schuyteneer
9
74 kgFontaine
11
70 kgMarsh
12
66 kgSchoofs
13
68 kgBlaise
14
73 kgGrindley
17
72 kgScheitinger
20
77 kgFujimura
24
63 kgSierra
26
70 kgThompson
32
72 kgSambinello
40
66 kgL'Hote
43
67 kgBeisembay
44
73 kgCapra
47
73 kgScheldeman
49
66 kgNovák
57
63 kgGottstein
60
68 kgGiuliano
65
63 kgLospitao
74
67.5 kgGrupp
81
67 kgOkazaki
104
65 kg
Weight (KG) →
Result →
85
63
1
104
# | Rider | Weight (KG) |
---|---|---|
1 | SENTJENS Sente | 85 |
4 | WIGGINS Ben | 75 |
9 | DE SCHUYTENEER Steffen | 74 |
11 | FONTAINE Titouan | 70 |
12 | MARSH Ben | 66 |
13 | SCHOOFS Jasper | 68 |
14 | BLAISE Arthur | 73 |
17 | GRINDLEY Sebastian | 72 |
20 | SCHEITINGER Linus | 77 |
24 | FUJIMURA Kazuma | 63 |
26 | SIERRA Juan David | 70 |
32 | THOMPSON David | 72 |
40 | SAMBINELLO Mattia | 66 |
43 | L'HOTE Antoine | 67 |
44 | BEISEMBAY Mansur | 73 |
47 | CAPRA Thomas | 73 |
49 | SCHELDEMAN Xander | 66 |
57 | NOVÁK Samuel | 63 |
60 | GOTTSTEIN Simon | 68 |
65 | GIULIANO Dario | 63 |
74 | LOSPITAO Pablo | 67.5 |
81 | GRUPP Louis | 67 |
104 | OKAZAKI Kazuki | 65 |