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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Mareczko
1
67 kgMarini
2
72 kgMacanally
3
68 kgAberasturi
4
69 kgButs
5
68 kgGiraud
6
71 kgAlzate
7
74 kgMuzychkin
8
76 kgBoivin
11
78 kgHaedo
13
64 kgLaas
14
76 kgHill
15
67 kgBazhkou
16
65 kgTzortzakis
18
80 kgVasylyuk
19
65 kgGroves
20
76 kgRäim
22
69 kgPacher
26
62 kgNazaret
29
65 kgCastillo
31
72 kg
1
67 kgMarini
2
72 kgMacanally
3
68 kgAberasturi
4
69 kgButs
5
68 kgGiraud
6
71 kgAlzate
7
74 kgMuzychkin
8
76 kgBoivin
11
78 kgHaedo
13
64 kgLaas
14
76 kgHill
15
67 kgBazhkou
16
65 kgTzortzakis
18
80 kgVasylyuk
19
65 kgGroves
20
76 kgRäim
22
69 kgPacher
26
62 kgNazaret
29
65 kgCastillo
31
72 kg
Weight (KG) →
Result →
80
62
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | MARINI Nicolas | 72 |
| 3 | MACANALLY Ryan | 68 |
| 4 | ABERASTURI Jon | 69 |
| 5 | BUTS Vitaliy | 68 |
| 6 | GIRAUD Benjamin | 71 |
| 7 | ALZATE Carlos | 74 |
| 8 | MUZYCHKIN Anton | 76 |
| 11 | BOIVIN Guillaume | 78 |
| 13 | HAEDO Lucas Sebastián | 64 |
| 14 | LAAS Martin | 76 |
| 15 | HILL Benjamin | 67 |
| 16 | BAZHKOU Stanislau | 65 |
| 18 | TZORTZAKIS Polychronis | 80 |
| 19 | VASYLYUK Andriy | 65 |
| 20 | GROVES Kaden | 76 |
| 22 | RÄIM Mihkel | 69 |
| 26 | PACHER Quentin | 62 |
| 29 | NAZARET Magno | 65 |
| 31 | CASTILLO Ulises Alfredo | 72 |