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 = -0.5 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Arndt
5
77.5 kgRiška
6
73 kgBajc
8
65 kgTamouridis
9
70 kgFothen
10
71 kgJovanović
11
60 kgAkdilek
16
68 kgSayar
19
64 kgTzortzakis
24
80 kgKasa
28
72 kgIlias
32
69 kgBouglas
33
71 kgOjavee
34
80 kgStević
36
66 kgČanecký
41
72 kgGerganov
52
60 kgBourgeois
58
61 kgBoillat
59
68 kgPetrov
61
66 kgYates
74
73 kgSoula
84
68 kgGraf
87
72 kgGreen
100
70 kg
5
77.5 kgRiška
6
73 kgBajc
8
65 kgTamouridis
9
70 kgFothen
10
71 kgJovanović
11
60 kgAkdilek
16
68 kgSayar
19
64 kgTzortzakis
24
80 kgKasa
28
72 kgIlias
32
69 kgBouglas
33
71 kgOjavee
34
80 kgStević
36
66 kgČanecký
41
72 kgGerganov
52
60 kgBourgeois
58
61 kgBoillat
59
68 kgPetrov
61
66 kgYates
74
73 kgSoula
84
68 kgGraf
87
72 kgGreen
100
70 kg
Weight (KG) →
Result →
80
60
5
100
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ARNDT Nikias | 77.5 |
| 6 | RIŠKA Martin | 73 |
| 8 | BAJC Andi | 65 |
| 9 | TAMOURIDIS Ioannis | 70 |
| 10 | FOTHEN Markus | 71 |
| 11 | JOVANOVIĆ Nebojša | 60 |
| 16 | AKDILEK Ahmet | 68 |
| 19 | SAYAR Mustafa | 64 |
| 24 | TZORTZAKIS Polychronis | 80 |
| 28 | KASA Gabor | 72 |
| 32 | ILIAS Periklis | 69 |
| 33 | BOUGLAS Georgios | 71 |
| 34 | OJAVEE Mart | 80 |
| 36 | STEVIĆ Ivan | 66 |
| 41 | ČANECKÝ Marek | 72 |
| 52 | GERGANOV Evgeni | 60 |
| 58 | BOURGEOIS Guillaume | 61 |
| 59 | BOILLAT Joris | 68 |
| 61 | PETROV Daniel Bogomilov | 66 |
| 74 | YATES Jeremy | 73 |
| 84 | SOULA Guillaume | 68 |
| 87 | GRAF Andreas | 72 |
| 100 | GREEN Siméon | 70 |