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 = 1.2 * weight - 22
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Frigo
7
68 kgDe Gendt
11
51 kgReitz
14
57 kgBarry
15
77 kgJordan
20
61 kgVerdonck
24
63 kgHaugetun
33
63 kgPighin
34
60 kgDijkman
41
55 kgDoghetti
43
54 kgRosato
57
57 kgFrançois
62
68 kgD'hondt
63
63 kgPeace
66
63 kgJackowiak
77
65 kgShcherbatskyi
85
60 kgRaus
100
73 kgGoold
120
59 kgPatras
132
69 kg
7
68 kgDe Gendt
11
51 kgReitz
14
57 kgBarry
15
77 kgJordan
20
61 kgVerdonck
24
63 kgHaugetun
33
63 kgPighin
34
60 kgDijkman
41
55 kgDoghetti
43
54 kgRosato
57
57 kgFrançois
62
68 kgD'hondt
63
63 kgPeace
66
63 kgJackowiak
77
65 kgShcherbatskyi
85
60 kgRaus
100
73 kgGoold
120
59 kgPatras
132
69 kg
Weight (KG) →
Result →
77
51
7
132
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | FRIGO Davide | 68 |
| 11 | DE GENDT Leander | 51 |
| 14 | REITZ Braden | 57 |
| 15 | BARRY Ashlin | 77 |
| 20 | JORDAN Ayden | 61 |
| 24 | VERDONCK Thomas | 63 |
| 33 | HAUGETUN Kristian | 63 |
| 34 | PIGHIN Christian | 60 |
| 41 | DIJKMAN Daan | 55 |
| 43 | DOGHETTI Thomas | 54 |
| 57 | ROSATO Giacomo | 57 |
| 62 | FRANÇOIS Rune | 68 |
| 63 | D'HONDT Arne | 63 |
| 66 | PEACE Matthew | 63 |
| 77 | JACKOWIAK Jan Michal | 65 |
| 85 | SHCHERBATSKYI Maksym | 60 |
| 100 | RAUS Jérôme | 73 |
| 120 | GOOLD Max | 59 |
| 132 | PATRAS Jakub | 69 |