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 = 1.3 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Topchanyuk
2
65 kgChaabane
3
70 kgVrečer
5
68 kgRebellin
6
63 kgTamouridis
8
70 kgKal
9
72 kgBouglas
10
71 kgGuardiola
11
65 kgGerganov
12
60 kgJovanović
19
60 kgAkdilek
20
68 kgIlias
23
69 kgKüçükbay
31
70 kgBourgeois
33
61 kgEdmüller
63
70 kgWeissinger
64
74 kgTzortzakis
72
80 kgHrinkow
78
61 kg
2
65 kgChaabane
3
70 kgVrečer
5
68 kgRebellin
6
63 kgTamouridis
8
70 kgKal
9
72 kgBouglas
10
71 kgGuardiola
11
65 kgGerganov
12
60 kgJovanović
19
60 kgAkdilek
20
68 kgIlias
23
69 kgKüçükbay
31
70 kgBourgeois
33
61 kgEdmüller
63
70 kgWeissinger
64
74 kgTzortzakis
72
80 kgHrinkow
78
61 kg
Weight (KG) →
Result →
80
60
2
78
# | Rider | Weight (KG) |
---|---|---|
2 | TOPCHANYUK Artem | 65 |
3 | CHAABANE Hichem | 70 |
5 | VREČER Robert | 68 |
6 | REBELLIN Davide | 63 |
8 | TAMOURIDIS Ioannis | 70 |
9 | KAL Miraç | 72 |
10 | BOUGLAS Georgios | 71 |
11 | GUARDIOLA Salvador | 65 |
12 | GERGANOV Evgeni | 60 |
19 | JOVANOVIĆ Nebojša | 60 |
20 | AKDILEK Ahmet | 68 |
23 | ILIAS Periklis | 69 |
31 | KÜÇÜKBAY Kemal | 70 |
33 | BOURGEOIS Guillaume | 61 |
63 | EDMÜLLER Benjamin | 70 |
64 | WEISSINGER René | 74 |
72 | TZORTZAKIS Polychronis | 80 |
78 | HRINKOW Dominik | 61 |