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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Peace
2
63 kgBarry
4
77 kgHaugetun
4
63 kgDijkman
5
55 kgGoold
5
59 kgVerdonck
6
63 kgReitz
7
57 kgRaus
9
73 kgJackowiak
10
65 kgRosato
10
57 kgDe Gendt
10
51 kgShcherbatskyi
10
60 kgFrigo
15
68 kgPighin
15
60 kgPatras
16
69 kgDoghetti
18
54 kgFrançois
19
68 kgD'hondt
21
63 kgJordan
23
61 kg
2
63 kgBarry
4
77 kgHaugetun
4
63 kgDijkman
5
55 kgGoold
5
59 kgVerdonck
6
63 kgReitz
7
57 kgRaus
9
73 kgJackowiak
10
65 kgRosato
10
57 kgDe Gendt
10
51 kgShcherbatskyi
10
60 kgFrigo
15
68 kgPighin
15
60 kgPatras
16
69 kgDoghetti
18
54 kgFrançois
19
68 kgD'hondt
21
63 kgJordan
23
61 kg
Weight (KG) →
Result →
77
51
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PEACE Matthew | 63 |
| 4 | BARRY Ashlin | 77 |
| 4 | HAUGETUN Kristian | 63 |
| 5 | DIJKMAN Daan | 55 |
| 5 | GOOLD Max | 59 |
| 6 | VERDONCK Thomas | 63 |
| 7 | REITZ Braden | 57 |
| 9 | RAUS Jérôme | 73 |
| 10 | JACKOWIAK Jan Michal | 65 |
| 10 | ROSATO Giacomo | 57 |
| 10 | DE GENDT Leander | 51 |
| 10 | SHCHERBATSKYI Maksym | 60 |
| 15 | FRIGO Davide | 68 |
| 15 | PIGHIN Christian | 60 |
| 16 | PATRAS Jakub | 69 |
| 18 | DOGHETTI Thomas | 54 |
| 19 | FRANÇOIS Rune | 68 |
| 21 | D'HONDT Arne | 63 |
| 23 | JORDAN Ayden | 61 |