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 + 12
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Berhane
1
66 kgJelloul
2
58 kgIlias
4
69 kgChaabane
5
70 kgTamouridis
6
70 kgLagab
7
63 kgAmanuel
10
63 kgLahsaini
13
77 kgCort
14
68 kgTopchanyuk
15
65 kgBēcis
18
82 kgChaoufi
23
65 kgHasnaoui
30
80 kgOkubamariam
35
60 kgDebesay
36
64 kgLiepiņš
54
67 kgBelgasem
61
68 kg
1
66 kgJelloul
2
58 kgIlias
4
69 kgChaabane
5
70 kgTamouridis
6
70 kgLagab
7
63 kgAmanuel
10
63 kgLahsaini
13
77 kgCort
14
68 kgTopchanyuk
15
65 kgBēcis
18
82 kgChaoufi
23
65 kgHasnaoui
30
80 kgOkubamariam
35
60 kgDebesay
36
64 kgLiepiņš
54
67 kgBelgasem
61
68 kg
Weight (KG) →
Result →
82
58
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERHANE Natnael | 66 |
| 2 | JELLOUL Adil | 58 |
| 4 | ILIAS Periklis | 69 |
| 5 | CHAABANE Hichem | 70 |
| 6 | TAMOURIDIS Ioannis | 70 |
| 7 | LAGAB Azzedine | 63 |
| 10 | AMANUEL Meron | 63 |
| 13 | LAHSAINI Mouhssine | 77 |
| 14 | CORT Magnus | 68 |
| 15 | TOPCHANYUK Artem | 65 |
| 18 | BĒCIS Armands | 82 |
| 23 | CHAOUFI Tarik | 65 |
| 30 | HASNAOUI Maher | 80 |
| 35 | OKUBAMARIAM Tesfom | 60 |
| 36 | DEBESAY Mekseb | 64 |
| 54 | LIEPIŅŠ Emīls | 67 |
| 61 | BELGASEM Ahmed Youssef | 68 |