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 + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Hivert
1
62 kgEvtushenko
2
72 kgRosón
3
62 kgMestre
4
65 kgCasimiro
5
62 kgReis
6
72 kgCarapaz
7
62 kgFigueiredo
8
56 kgQuintana
9
58 kgSevilla
10
62 kgCarvalho
11
62 kgSilva
13
66 kgRodrigues
14
60 kgTorres
15
56 kgCattaneo
16
67 kgTaliani
17
60 kgSosa
20
52 kgSicard
21
63 kgBizkarra
22
53 kgEtxeberria
23
61 kgPardilla
24
65 kgRebellin
26
63 kg
1
62 kgEvtushenko
2
72 kgRosón
3
62 kgMestre
4
65 kgCasimiro
5
62 kgReis
6
72 kgCarapaz
7
62 kgFigueiredo
8
56 kgQuintana
9
58 kgSevilla
10
62 kgCarvalho
11
62 kgSilva
13
66 kgRodrigues
14
60 kgTorres
15
56 kgCattaneo
16
67 kgTaliani
17
60 kgSosa
20
52 kgSicard
21
63 kgBizkarra
22
53 kgEtxeberria
23
61 kgPardilla
24
65 kgRebellin
26
63 kg
Weight (KG) →
Result →
72
52
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIVERT Jonathan | 62 |
| 2 | EVTUSHENKO Alexander | 72 |
| 3 | ROSÓN Jaime | 62 |
| 4 | MESTRE Daniel | 65 |
| 5 | CASIMIRO Henrique | 62 |
| 6 | REIS Rafael | 72 |
| 7 | CARAPAZ Richard | 62 |
| 8 | FIGUEIREDO Frederico | 56 |
| 9 | QUINTANA Dayer | 58 |
| 10 | SEVILLA Óscar | 62 |
| 11 | CARVALHO Antonio | 62 |
| 13 | SILVA Joaquim | 66 |
| 14 | RODRIGUES João | 60 |
| 15 | TORRES Rodolfo Andrés | 56 |
| 16 | CATTANEO Mattia | 67 |
| 17 | TALIANI Alessio | 60 |
| 20 | SOSA Iván Ramiro | 52 |
| 21 | SICARD Romain | 63 |
| 22 | BIZKARRA Mikel | 53 |
| 23 | ETXEBERRIA Víctor | 61 |
| 24 | PARDILLA Sergio | 65 |
| 26 | REBELLIN Davide | 63 |