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 - 28
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Reitz
2
57 kgDijkman
11
55 kgVerdonck
17
63 kgFrançois
23
68 kgPighin
25
60 kgBarry
26
77 kgJordan
29
61 kgDe Gendt
38
51 kgRosato
41
57 kgHaugetun
42
63 kgJackowiak
43
65 kgShcherbatskyi
45
60 kgPeace
48
63 kgFrigo
78
68 kgDoghetti
81
54 kgRaus
89
73 kgPatras
90
69 kgD'hondt
95
63 kg
2
57 kgDijkman
11
55 kgVerdonck
17
63 kgFrançois
23
68 kgPighin
25
60 kgBarry
26
77 kgJordan
29
61 kgDe Gendt
38
51 kgRosato
41
57 kgHaugetun
42
63 kgJackowiak
43
65 kgShcherbatskyi
45
60 kgPeace
48
63 kgFrigo
78
68 kgDoghetti
81
54 kgRaus
89
73 kgPatras
90
69 kgD'hondt
95
63 kg
Weight (KG) →
Result →
77
51
2
95
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REITZ Braden | 57 |
| 11 | DIJKMAN Daan | 55 |
| 17 | VERDONCK Thomas | 63 |
| 23 | FRANÇOIS Rune | 68 |
| 25 | PIGHIN Christian | 60 |
| 26 | BARRY Ashlin | 77 |
| 29 | JORDAN Ayden | 61 |
| 38 | DE GENDT Leander | 51 |
| 41 | ROSATO Giacomo | 57 |
| 42 | HAUGETUN Kristian | 63 |
| 43 | JACKOWIAK Jan Michal | 65 |
| 45 | SHCHERBATSKYI Maksym | 60 |
| 48 | PEACE Matthew | 63 |
| 78 | FRIGO Davide | 68 |
| 81 | DOGHETTI Thomas | 54 |
| 89 | RAUS Jérôme | 73 |
| 90 | PATRAS Jakub | 69 |
| 95 | D'HONDT Arne | 63 |