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 = -1.4 * weight + 125
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Örken
1
69 kgBroniš
2
74 kgCabello
3
67 kgKerby
4
71 kgKolář
6
90 kgCantero
10
68 kgKomar
11
73 kgOrr
14
74 kgHaddi
15
63 kgAït El Abdia
30
66 kgMizurov
33
68 kgJurčo
40
69 kgRuíz
41
66 kgJelloul
42
58 kgČanecký
44
72 kgJawad
46
58 kgPerget
47
64 kgSoula
54
68 kgMahďar
55
61 kgGreen
72
70 kg
1
69 kgBroniš
2
74 kgCabello
3
67 kgKerby
4
71 kgKolář
6
90 kgCantero
10
68 kgKomar
11
73 kgOrr
14
74 kgHaddi
15
63 kgAït El Abdia
30
66 kgMizurov
33
68 kgJurčo
40
69 kgRuíz
41
66 kgJelloul
42
58 kgČanecký
44
72 kgJawad
46
58 kgPerget
47
64 kgSoula
54
68 kgMahďar
55
61 kgGreen
72
70 kg
Weight (KG) →
Result →
90
58
1
72
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ÖRKEN Ahmet | 69 |
| 2 | BRONIŠ Roman | 74 |
| 3 | CABELLO Antonio | 67 |
| 4 | KERBY Jordan | 71 |
| 6 | KOLÁŘ Michael | 90 |
| 10 | CANTERO Francisco Javier | 68 |
| 11 | KOMAR Mateusz | 73 |
| 14 | ORR Robert | 74 |
| 15 | HADDI Soufiane | 63 |
| 30 | AÏT EL ABDIA Anass | 66 |
| 33 | MIZUROV Andrey | 68 |
| 40 | JURČO Matej | 69 |
| 41 | RUÍZ Eloy | 66 |
| 42 | JELLOUL Adil | 58 |
| 44 | ČANECKÝ Marek | 72 |
| 46 | JAWAD Mansoor | 58 |
| 47 | PERGET Mathieu | 64 |
| 54 | SOULA Guillaume | 68 |
| 55 | MAHĎAR Martin | 61 |
| 72 | GREEN Siméon | 70 |