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 + 63
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Leitão
1
65 kgBabor
2
79 kgLinarez
3
74 kgSilva
5
64 kgReis
6
72 kgBickmore
7
74 kgKuś
8
70 kgBárta
10
79 kgMartins
11
74 kgTivani
12
67 kgMusialik
13
63 kgCampos
15
60 kgGervais
16
72 kgSilva
17
59 kgNarciso
18
72 kgOliveira
19
63 kgDarder
21
67 kgCaixas
23
66 kgPereira
24
68 kgAmezqueta
25
63 kgDuckert
27
68 kgDias
29
57 kgFonte
30
60 kgLange
31
72 kg
1
65 kgBabor
2
79 kgLinarez
3
74 kgSilva
5
64 kgReis
6
72 kgBickmore
7
74 kgKuś
8
70 kgBárta
10
79 kgMartins
11
74 kgTivani
12
67 kgMusialik
13
63 kgCampos
15
60 kgGervais
16
72 kgSilva
17
59 kgNarciso
18
72 kgOliveira
19
63 kgDarder
21
67 kgCaixas
23
66 kgPereira
24
68 kgAmezqueta
25
63 kgDuckert
27
68 kgDias
29
57 kgFonte
30
60 kgLange
31
72 kg
Weight (KG) →
Result →
79
57
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEITÃO Iúri | 65 |
| 2 | BABOR Daniel | 79 |
| 3 | LINAREZ Leangel Rubén | 74 |
| 5 | SILVA Guillermo Thomas | 64 |
| 6 | REIS Rafael | 72 |
| 7 | BICKMORE Cade | 74 |
| 8 | KUŚ Adam | 70 |
| 10 | BÁRTA Tomáš | 79 |
| 11 | MARTINS João | 74 |
| 12 | TIVANI German Nicolás | 67 |
| 13 | MUSIALIK Jakub | 63 |
| 15 | CAMPOS Francisco | 60 |
| 16 | GERVAIS Laurent | 72 |
| 17 | SILVA Bruno | 59 |
| 18 | NARCISO Diogo | 72 |
| 19 | OLIVEIRA Fábio | 63 |
| 21 | DARDER Sergi | 67 |
| 23 | CAIXAS Rodrigo | 66 |
| 24 | PEREIRA Francisco | 68 |
| 25 | AMEZQUETA Julen | 63 |
| 27 | DUCKERT Roman | 68 |
| 29 | DIAS José | 57 |
| 30 | FONTE César | 60 |
| 31 | LANGE Colby | 72 |