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 = -0.4 * weight + 97
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Markov
4
80 kgGarrido
6
70 kgBarbosa
7
72 kgGlomser
9
67 kgBossoni
11
62 kgdel Nero
15
73 kgPérez
20
70 kgMøller
21
70 kgTorrent
22
71 kgSabido
28
70 kgSousa
34
59 kgMarque
35
68 kgMorajko
36
65 kgRibeiro
37
59 kgEfimkin
38
67 kgFerrío
40
51 kgPérez
41
76 kgDos Santos
42
62 kgGarcía Dapena
51
73 kgBrôco
53
66 kgPetrov
60
63 kgCárdenas
63
59 kgTondo
67
68 kgSiutsou
69
68 kgGarcía
72
80 kgSzmyd
83
60 kgZárate
84
68 kgBonilla
85
73 kgAmorim
88
67 kgIsidoro
89
63 kgGavazzi
94
65 kgPires
95
63 kgCastanheira
97
70 kgMestre
101
58 kgLarsson
103
77 kgMachado
105
63 kgGeorge
106
61 kgKvachuk
112
68 kgPetrov
117
66 kgSimoni
120
59 kgCodol
123
67 kgCheula
126
62 kgSánchez
128
60 kgAug
134
83 kgChicchi
145
76 kg
4
80 kgGarrido
6
70 kgBarbosa
7
72 kgGlomser
9
67 kgBossoni
11
62 kgdel Nero
15
73 kgPérez
20
70 kgMøller
21
70 kgTorrent
22
71 kgSabido
28
70 kgSousa
34
59 kgMarque
35
68 kgMorajko
36
65 kgRibeiro
37
59 kgEfimkin
38
67 kgFerrío
40
51 kgPérez
41
76 kgDos Santos
42
62 kgGarcía Dapena
51
73 kgBrôco
53
66 kgPetrov
60
63 kgCárdenas
63
59 kgTondo
67
68 kgSiutsou
69
68 kgGarcía
72
80 kgSzmyd
83
60 kgZárate
84
68 kgBonilla
85
73 kgAmorim
88
67 kgIsidoro
89
63 kgGavazzi
94
65 kgPires
95
63 kgCastanheira
97
70 kgMestre
101
58 kgLarsson
103
77 kgMachado
105
63 kgGeorge
106
61 kgKvachuk
112
68 kgPetrov
117
66 kgSimoni
120
59 kgCodol
123
67 kgCheula
126
62 kgSánchez
128
60 kgAug
134
83 kgChicchi
145
76 kg
Weight (KG) →
Result →
83
51
4
145