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 = 1.1 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Jurčo
2
69 kgČanecký
3
72 kgJelloul
4
58 kgHaddi
6
63 kgRuíz
8
66 kgMizurov
9
68 kgPerget
14
64 kgWilmann
15
69 kgBroniš
16
74 kgLatoń
17
76 kgCabello
19
67 kgCantero
20
68 kgMahďar
26
61 kgAït El Abdia
38
66 kgJawad
44
58 kgOrr
47
74 kgKomar
55
73 kgKolář
59
90 kgÖrken
63
69 kgBelgasem
64
68 kgKerby
67
71 kgSoula
71
68 kgGreen
72
70 kg
2
69 kgČanecký
3
72 kgJelloul
4
58 kgHaddi
6
63 kgRuíz
8
66 kgMizurov
9
68 kgPerget
14
64 kgWilmann
15
69 kgBroniš
16
74 kgLatoń
17
76 kgCabello
19
67 kgCantero
20
68 kgMahďar
26
61 kgAït El Abdia
38
66 kgJawad
44
58 kgOrr
47
74 kgKomar
55
73 kgKolář
59
90 kgÖrken
63
69 kgBelgasem
64
68 kgKerby
67
71 kgSoula
71
68 kgGreen
72
70 kg
Weight (KG) →
Result →
90
58
2
72
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JURČO Matej | 69 |
| 3 | ČANECKÝ Marek | 72 |
| 4 | JELLOUL Adil | 58 |
| 6 | HADDI Soufiane | 63 |
| 8 | RUÍZ Eloy | 66 |
| 9 | MIZUROV Andrey | 68 |
| 14 | PERGET Mathieu | 64 |
| 15 | WILMANN Frederik | 69 |
| 16 | BRONIŠ Roman | 74 |
| 17 | LATOŃ Eryk | 76 |
| 19 | CABELLO Antonio | 67 |
| 20 | CANTERO Francisco Javier | 68 |
| 26 | MAHĎAR Martin | 61 |
| 38 | AÏT EL ABDIA Anass | 66 |
| 44 | JAWAD Mansoor | 58 |
| 47 | ORR Robert | 74 |
| 55 | KOMAR Mateusz | 73 |
| 59 | KOLÁŘ Michael | 90 |
| 63 | ÖRKEN Ahmet | 69 |
| 64 | BELGASEM Ahmed Youssef | 68 |
| 67 | KERBY Jordan | 71 |
| 71 | SOULA Guillaume | 68 |
| 72 | GREEN Siméon | 70 |