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 - 89
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Gerganov
6
60 kgBajc
8
65 kgYates
9
73 kgČanecký
10
72 kgFothen
11
71 kgRiška
16
73 kgBourgeois
18
61 kgBoillat
20
68 kgPetrov
32
66 kgSayar
33
64 kgTzortzakis
34
80 kgTamouridis
36
70 kgIlias
37
69 kgAkdilek
38
68 kgKasa
45
72 kgBouglas
47
71 kgJovanović
63
60 kgStević
67
66 kgOjavee
91
80 kgGreen
95
70 kgSoula
96
68 kgGraf
98
72 kgArndt
110
77.5 kg
6
60 kgBajc
8
65 kgYates
9
73 kgČanecký
10
72 kgFothen
11
71 kgRiška
16
73 kgBourgeois
18
61 kgBoillat
20
68 kgPetrov
32
66 kgSayar
33
64 kgTzortzakis
34
80 kgTamouridis
36
70 kgIlias
37
69 kgAkdilek
38
68 kgKasa
45
72 kgBouglas
47
71 kgJovanović
63
60 kgStević
67
66 kgOjavee
91
80 kgGreen
95
70 kgSoula
96
68 kgGraf
98
72 kgArndt
110
77.5 kg
Weight (KG) →
Result →
80
60
6
110
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GERGANOV Evgeni | 60 |
| 8 | BAJC Andi | 65 |
| 9 | YATES Jeremy | 73 |
| 10 | ČANECKÝ Marek | 72 |
| 11 | FOTHEN Markus | 71 |
| 16 | RIŠKA Martin | 73 |
| 18 | BOURGEOIS Guillaume | 61 |
| 20 | BOILLAT Joris | 68 |
| 32 | PETROV Daniel Bogomilov | 66 |
| 33 | SAYAR Mustafa | 64 |
| 34 | TZORTZAKIS Polychronis | 80 |
| 36 | TAMOURIDIS Ioannis | 70 |
| 37 | ILIAS Periklis | 69 |
| 38 | AKDILEK Ahmet | 68 |
| 45 | KASA Gabor | 72 |
| 47 | BOUGLAS Georgios | 71 |
| 63 | JOVANOVIĆ Nebojša | 60 |
| 67 | STEVIĆ Ivan | 66 |
| 91 | OJAVEE Mart | 80 |
| 95 | GREEN Siméon | 70 |
| 96 | SOULA Guillaume | 68 |
| 98 | GRAF Andreas | 72 |
| 110 | ARNDT Nikias | 77.5 |