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 = -1.9 * weight + 170
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Yates
3
73 kgTzortzakis
5
80 kgTamouridis
6
70 kgBoillat
13
68 kgČanecký
14
72 kgFothen
16
71 kgGerganov
17
60 kgArndt
22
77.5 kgRiška
24
73 kgGraf
26
72 kgStević
27
66 kgAkdilek
33
68 kgBajc
35
65 kgOjavee
37
80 kgBouglas
42
71 kgKasa
50
72 kgJovanović
54
60 kgIlias
59
69 kgBourgeois
60
61 kgSoula
80
68 kgPetrov
82
66 kgSayar
84
64 kg
3
73 kgTzortzakis
5
80 kgTamouridis
6
70 kgBoillat
13
68 kgČanecký
14
72 kgFothen
16
71 kgGerganov
17
60 kgArndt
22
77.5 kgRiška
24
73 kgGraf
26
72 kgStević
27
66 kgAkdilek
33
68 kgBajc
35
65 kgOjavee
37
80 kgBouglas
42
71 kgKasa
50
72 kgJovanović
54
60 kgIlias
59
69 kgBourgeois
60
61 kgSoula
80
68 kgPetrov
82
66 kgSayar
84
64 kg
Weight (KG) →
Result →
80
60
3
84
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | YATES Jeremy | 73 |
| 5 | TZORTZAKIS Polychronis | 80 |
| 6 | TAMOURIDIS Ioannis | 70 |
| 13 | BOILLAT Joris | 68 |
| 14 | ČANECKÝ Marek | 72 |
| 16 | FOTHEN Markus | 71 |
| 17 | GERGANOV Evgeni | 60 |
| 22 | ARNDT Nikias | 77.5 |
| 24 | RIŠKA Martin | 73 |
| 26 | GRAF Andreas | 72 |
| 27 | STEVIĆ Ivan | 66 |
| 33 | AKDILEK Ahmet | 68 |
| 35 | BAJC Andi | 65 |
| 37 | OJAVEE Mart | 80 |
| 42 | BOUGLAS Georgios | 71 |
| 50 | KASA Gabor | 72 |
| 54 | JOVANOVIĆ Nebojša | 60 |
| 59 | ILIAS Periklis | 69 |
| 60 | BOURGEOIS Guillaume | 61 |
| 80 | SOULA Guillaume | 68 |
| 82 | PETROV Daniel Bogomilov | 66 |
| 84 | SAYAR Mustafa | 64 |