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 - 49
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Perget
1
64 kgMizurov
3
68 kgRuíz
5
66 kgWilmann
6
69 kgJelloul
7
58 kgMahďar
8
61 kgAït El Abdia
9
66 kgČanecký
11
72 kgSoula
15
68 kgJurčo
16
69 kgCantero
19
68 kgHaddi
21
63 kgKal
26
72 kgLatoń
30
76 kgKomar
38
73 kgCabello
44
67 kgGreen
47
70 kgKerby
49
71 kgKolář
52
90 kgBroniš
53
74 kgJawad
69
58 kgÖrken
73
69 kgOrr
75
74 kgBelgasem
79
68 kg
1
64 kgMizurov
3
68 kgRuíz
5
66 kgWilmann
6
69 kgJelloul
7
58 kgMahďar
8
61 kgAït El Abdia
9
66 kgČanecký
11
72 kgSoula
15
68 kgJurčo
16
69 kgCantero
19
68 kgHaddi
21
63 kgKal
26
72 kgLatoń
30
76 kgKomar
38
73 kgCabello
44
67 kgGreen
47
70 kgKerby
49
71 kgKolář
52
90 kgBroniš
53
74 kgJawad
69
58 kgÖrken
73
69 kgOrr
75
74 kgBelgasem
79
68 kg
Weight (KG) →
Result →
90
58
1
79
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERGET Mathieu | 64 |
| 3 | MIZUROV Andrey | 68 |
| 5 | RUÍZ Eloy | 66 |
| 6 | WILMANN Frederik | 69 |
| 7 | JELLOUL Adil | 58 |
| 8 | MAHĎAR Martin | 61 |
| 9 | AÏT EL ABDIA Anass | 66 |
| 11 | ČANECKÝ Marek | 72 |
| 15 | SOULA Guillaume | 68 |
| 16 | JURČO Matej | 69 |
| 19 | CANTERO Francisco Javier | 68 |
| 21 | HADDI Soufiane | 63 |
| 26 | KAL Miraç | 72 |
| 30 | LATOŃ Eryk | 76 |
| 38 | KOMAR Mateusz | 73 |
| 44 | CABELLO Antonio | 67 |
| 47 | GREEN Siméon | 70 |
| 49 | KERBY Jordan | 71 |
| 52 | KOLÁŘ Michael | 90 |
| 53 | BRONIŠ Roman | 74 |
| 69 | JAWAD Mansoor | 58 |
| 73 | ÖRKEN Ahmet | 69 |
| 75 | ORR Robert | 74 |
| 79 | BELGASEM Ahmed Youssef | 68 |