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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Alizadeh
2
62 kgNepomnyachshiy
4
62 kgLiu
5
67 kgKolahdozhagh
9
60 kgZargari
10
62 kgBrammeier
11
72 kgAskari
13
73 kgLavieu
14
60 kgBaldo
15
73 kgMartins
16
70 kgGoesinnen
17
75 kgMizurov
18
68 kgMizbani
19
67 kgFominykh
20
70 kgAntomarchi
22
70 kgThwaites
24
71 kgBelda
26
53 kgMas
27
69 kg
2
62 kgNepomnyachshiy
4
62 kgLiu
5
67 kgKolahdozhagh
9
60 kgZargari
10
62 kgBrammeier
11
72 kgAskari
13
73 kgLavieu
14
60 kgBaldo
15
73 kgMartins
16
70 kgGoesinnen
17
75 kgMizurov
18
68 kgMizbani
19
67 kgFominykh
20
70 kgAntomarchi
22
70 kgThwaites
24
71 kgBelda
26
53 kgMas
27
69 kg
Weight (KG) →
Result →
75
53
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ALIZADEH Hossein | 62 |
| 4 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 5 | LIU Biao | 67 |
| 9 | KOLAHDOZHAGH Amir | 60 |
| 10 | ZARGARI Amir | 62 |
| 11 | BRAMMEIER Matt | 72 |
| 13 | ASKARI Hossein | 73 |
| 14 | LAVIEU Antoine | 60 |
| 15 | BALDO Nicolas | 73 |
| 16 | MARTINS Uri | 70 |
| 17 | GOESINNEN Floris | 75 |
| 18 | MIZUROV Andrey | 68 |
| 19 | MIZBANI Ghader | 67 |
| 20 | FOMINYKH Daniil | 70 |
| 22 | ANTOMARCHI Julien | 70 |
| 24 | THWAITES Scott | 71 |
| 26 | BELDA David | 53 |
| 27 | MAS Lluís | 69 |