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 = -0.7 * weight + 79
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Vrečer
1
68 kgRebellin
2
63 kgTamouridis
3
70 kgChaabane
7
70 kgAkdilek
8
68 kgBouglas
9
71 kgKal
13
72 kgTopchanyuk
21
65 kgKüçükbay
22
70 kgIlias
24
69 kgGuardiola
31
65 kgJovanović
35
60 kgEdmüller
41
70 kgWeissinger
43
74 kgSayar
47
64 kgBourgeois
54
61 kgPetrovski
70
69 kgGerganov
72
60 kgTzortzakis
75
80 kgHrinkow
80
61 kg
1
68 kgRebellin
2
63 kgTamouridis
3
70 kgChaabane
7
70 kgAkdilek
8
68 kgBouglas
9
71 kgKal
13
72 kgTopchanyuk
21
65 kgKüçükbay
22
70 kgIlias
24
69 kgGuardiola
31
65 kgJovanović
35
60 kgEdmüller
41
70 kgWeissinger
43
74 kgSayar
47
64 kgBourgeois
54
61 kgPetrovski
70
69 kgGerganov
72
60 kgTzortzakis
75
80 kgHrinkow
80
61 kg
Weight (KG) →
Result →
80
60
1
80
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VREČER Robert | 68 |
| 2 | REBELLIN Davide | 63 |
| 3 | TAMOURIDIS Ioannis | 70 |
| 7 | CHAABANE Hichem | 70 |
| 8 | AKDILEK Ahmet | 68 |
| 9 | BOUGLAS Georgios | 71 |
| 13 | KAL Miraç | 72 |
| 21 | TOPCHANYUK Artem | 65 |
| 22 | KÜÇÜKBAY Kemal | 70 |
| 24 | ILIAS Periklis | 69 |
| 31 | GUARDIOLA Salvador | 65 |
| 35 | JOVANOVIĆ Nebojša | 60 |
| 41 | EDMÜLLER Benjamin | 70 |
| 43 | WEISSINGER René | 74 |
| 47 | SAYAR Mustafa | 64 |
| 54 | BOURGEOIS Guillaume | 61 |
| 70 | PETROVSKI Stefan | 69 |
| 72 | GERGANOV Evgeni | 60 |
| 75 | TZORTZAKIS Polychronis | 80 |
| 80 | HRINKOW Dominik | 61 |