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 = 0.1 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Komar
1
73 kgOrr
5
74 kgHaddi
11
63 kgJurčo
12
69 kgAït El Abdia
15
66 kgMizurov
23
68 kgJelloul
32
58 kgÖrken
36
69 kgJawad
39
58 kgKolář
44
90 kgČanecký
46
72 kgMahďar
48
61 kgRuíz
50
66 kgPerget
58
64 kgCantero
60
68 kgCabello
63
67 kgSoula
64
68 kgKerby
65
71 kgGreen
66
70 kgBroniš
67
74 kg
1
73 kgOrr
5
74 kgHaddi
11
63 kgJurčo
12
69 kgAït El Abdia
15
66 kgMizurov
23
68 kgJelloul
32
58 kgÖrken
36
69 kgJawad
39
58 kgKolář
44
90 kgČanecký
46
72 kgMahďar
48
61 kgRuíz
50
66 kgPerget
58
64 kgCantero
60
68 kgCabello
63
67 kgSoula
64
68 kgKerby
65
71 kgGreen
66
70 kgBroniš
67
74 kg
Weight (KG) →
Result →
90
58
1
67
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOMAR Mateusz | 73 |
| 5 | ORR Robert | 74 |
| 11 | HADDI Soufiane | 63 |
| 12 | JURČO Matej | 69 |
| 15 | AÏT EL ABDIA Anass | 66 |
| 23 | MIZUROV Andrey | 68 |
| 32 | JELLOUL Adil | 58 |
| 36 | ÖRKEN Ahmet | 69 |
| 39 | JAWAD Mansoor | 58 |
| 44 | KOLÁŘ Michael | 90 |
| 46 | ČANECKÝ Marek | 72 |
| 48 | MAHĎAR Martin | 61 |
| 50 | RUÍZ Eloy | 66 |
| 58 | PERGET Mathieu | 64 |
| 60 | CANTERO Francisco Javier | 68 |
| 63 | CABELLO Antonio | 67 |
| 64 | SOULA Guillaume | 68 |
| 65 | KERBY Jordan | 71 |
| 66 | GREEN Siméon | 70 |
| 67 | BRONIŠ Roman | 74 |