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 + 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Morgado
1
71 kgTavares
6
58 kgCarbayeda
8
68 kgAznar
9
59 kgEtxeberria
11
65 kgRuiz de Arcaute
13
66 kgZabala
18
60 kgZubeldia
19
72 kgBreant
23
62 kgAzanza
34
74 kgGoñi
35
65 kgMadina
41
65 kgBengoechea
49
63 kgBarbas
53
67 kgMuñiz
54
67 kgErostarbe
57
65.5 kgde Paula
60
63 kg
1
71 kgTavares
6
58 kgCarbayeda
8
68 kgAznar
9
59 kgEtxeberria
11
65 kgRuiz de Arcaute
13
66 kgZabala
18
60 kgZubeldia
19
72 kgBreant
23
62 kgAzanza
34
74 kgGoñi
35
65 kgMadina
41
65 kgBengoechea
49
63 kgBarbas
53
67 kgMuñiz
54
67 kgErostarbe
57
65.5 kgde Paula
60
63 kg
Weight (KG) →
Result →
74
58
1
60
# | Rider | Weight (KG) |
---|---|---|
1 | MORGADO António | 71 |
6 | TAVARES Gonçalo | 58 |
8 | CARBAYEDA Beñat | 68 |
9 | AZNAR Hugo | 59 |
11 | ETXEBERRIA Haimar | 65 |
13 | RUIZ DE ARCAUTE Diego | 66 |
18 | ZABALA Xabier | 60 |
19 | ZUBELDIA Unai | 72 |
23 | BREANT Romain | 62 |
34 | AZANZA Ibai | 74 |
35 | GOÑI Ismael | 65 |
41 | MADINA Aimar | 65 |
49 | BENGOECHEA Galder | 63 |
53 | BARBAS Rafael | 67 |
54 | MUÑIZ Oier | 67 |
57 | EROSTARBE Aimar | 65.5 |
60 | DE PAULA Victor Cesar | 63 |