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 = 0.3 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vrečer
1
68 kgRebellin
2
63 kgTamouridis
3
70 kgChaabane
7
70 kgGuardiola
9
65 kgIlias
10
69 kgJovanović
11
60 kgAkdilek
12
68 kgBouglas
14
71 kgKal
16
72 kgEdmüller
23
70 kgKüçükbay
26
70 kgTopchanyuk
28
65 kgBourgeois
41
61 kgTzortzakis
61
80 kgGerganov
62
60 kgWeissinger
65
74 kgHrinkow
70
61 kgPetrovski
83
69 kg
1
68 kgRebellin
2
63 kgTamouridis
3
70 kgChaabane
7
70 kgGuardiola
9
65 kgIlias
10
69 kgJovanović
11
60 kgAkdilek
12
68 kgBouglas
14
71 kgKal
16
72 kgEdmüller
23
70 kgKüçükbay
26
70 kgTopchanyuk
28
65 kgBourgeois
41
61 kgTzortzakis
61
80 kgGerganov
62
60 kgWeissinger
65
74 kgHrinkow
70
61 kgPetrovski
83
69 kg
Weight (KG) →
Result →
80
60
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VREČER Robert | 68 |
| 2 | REBELLIN Davide | 63 |
| 3 | TAMOURIDIS Ioannis | 70 |
| 7 | CHAABANE Hichem | 70 |
| 9 | GUARDIOLA Salvador | 65 |
| 10 | ILIAS Periklis | 69 |
| 11 | JOVANOVIĆ Nebojša | 60 |
| 12 | AKDILEK Ahmet | 68 |
| 14 | BOUGLAS Georgios | 71 |
| 16 | KAL Miraç | 72 |
| 23 | EDMÜLLER Benjamin | 70 |
| 26 | KÜÇÜKBAY Kemal | 70 |
| 28 | TOPCHANYUK Artem | 65 |
| 41 | BOURGEOIS Guillaume | 61 |
| 61 | TZORTZAKIS Polychronis | 80 |
| 62 | GERGANOV Evgeni | 60 |
| 65 | WEISSINGER René | 74 |
| 70 | HRINKOW Dominik | 61 |
| 83 | PETROVSKI Stefan | 69 |