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 = -1.7 * weight + 152
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Tamouridis
2
70 kgFothen
3
71 kgGerganov
5
60 kgTzortzakis
6
80 kgArndt
9
77.5 kgYates
10
73 kgRiška
12
73 kgČanecký
15
72 kgBoillat
16
68 kgBajc
20
65 kgAkdilek
22
68 kgStević
26
66 kgGraf
31
72 kgKasa
36
72 kgOjavee
38
80 kgJovanović
46
60 kgBouglas
56
71 kgIlias
59
69 kgBourgeois
60
61 kgSoula
80
68 kgPetrov
82
66 kgSayar
84
64 kg
2
70 kgFothen
3
71 kgGerganov
5
60 kgTzortzakis
6
80 kgArndt
9
77.5 kgYates
10
73 kgRiška
12
73 kgČanecký
15
72 kgBoillat
16
68 kgBajc
20
65 kgAkdilek
22
68 kgStević
26
66 kgGraf
31
72 kgKasa
36
72 kgOjavee
38
80 kgJovanović
46
60 kgBouglas
56
71 kgIlias
59
69 kgBourgeois
60
61 kgSoula
80
68 kgPetrov
82
66 kgSayar
84
64 kg
Weight (KG) →
Result →
80
60
2
84
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMOURIDIS Ioannis | 70 |
| 3 | FOTHEN Markus | 71 |
| 5 | GERGANOV Evgeni | 60 |
| 6 | TZORTZAKIS Polychronis | 80 |
| 9 | ARNDT Nikias | 77.5 |
| 10 | YATES Jeremy | 73 |
| 12 | RIŠKA Martin | 73 |
| 15 | ČANECKÝ Marek | 72 |
| 16 | BOILLAT Joris | 68 |
| 20 | BAJC Andi | 65 |
| 22 | AKDILEK Ahmet | 68 |
| 26 | STEVIĆ Ivan | 66 |
| 31 | GRAF Andreas | 72 |
| 36 | KASA Gabor | 72 |
| 38 | OJAVEE Mart | 80 |
| 46 | JOVANOVIĆ Nebojša | 60 |
| 56 | BOUGLAS Georgios | 71 |
| 59 | ILIAS Periklis | 69 |
| 60 | BOURGEOIS Guillaume | 61 |
| 80 | SOULA Guillaume | 68 |
| 82 | PETROV Daniel Bogomilov | 66 |
| 84 | SAYAR Mustafa | 64 |