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 = 1.8 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
De Gendt
7
51 kgMartinet
12
66 kgShcherbatskyi
15
60 kgHincapie
16
68 kgVerdonck
17
63 kgNoval
18
72 kgPeace
22
63 kgD'hondt
38
62 kgHudson
41
58 kgJackowiak
44
65 kgVassal
46
65 kgReitz
47
57 kgHernandez
59
54 kgLinser
70
56.7 kgTammepuu
77
68 kgHerring
78
63 kgHewes
98
69 kgSalamin
136
72 kg
7
51 kgMartinet
12
66 kgShcherbatskyi
15
60 kgHincapie
16
68 kgVerdonck
17
63 kgNoval
18
72 kgPeace
22
63 kgD'hondt
38
62 kgHudson
41
58 kgJackowiak
44
65 kgVassal
46
65 kgReitz
47
57 kgHernandez
59
54 kgLinser
70
56.7 kgTammepuu
77
68 kgHerring
78
63 kgHewes
98
69 kgSalamin
136
72 kg
Weight (KG) →
Result →
72
51
7
136
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DE GENDT Leander | 51 |
| 12 | MARTINET Valentin | 66 |
| 15 | SHCHERBATSKYI Maksym | 60 |
| 16 | HINCAPIE Enzo | 68 |
| 17 | VERDONCK Thomas | 63 |
| 18 | NOVAL Benjamín | 72 |
| 22 | PEACE Matthew | 63 |
| 38 | D'HONDT Arne | 62 |
| 41 | HUDSON Harry | 58 |
| 44 | JACKOWIAK Jan Michal | 65 |
| 46 | VASSAL Théophile | 65 |
| 47 | REITZ Braden | 57 |
| 59 | HERNANDEZ Jan | 54 |
| 70 | LINSER Ivan | 56.7 |
| 77 | TAMMEPUU Riko | 68 |
| 78 | HERRING Louis | 63 |
| 98 | HEWES Alex | 69 |
| 136 | SALAMIN Antoine | 72 |