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 = 0.6 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Rebollo
1
61 kgJeker
5
72 kgMercado
6
56 kgSousa
7
59 kgGamito
8
66 kgParra
11
62 kgRibeiro
14
59 kgMøller
15
70 kgBernabéu
17
66 kgDe Los Angeles
20
63 kgPlaza
21
68 kgZandio
25
73 kgGarcía Dapena
28
73 kgMosquera
30
65 kgSánchez
33
65 kgMauri
34
68 kgJufré
35
65 kgGarrido
36
68 kgOsa
37
64 kgGuillamón
39
62 kgRumšas
41
64 kgBaranowski
45
68 kgDos Santos
48
62 kg
1
61 kgJeker
5
72 kgMercado
6
56 kgSousa
7
59 kgGamito
8
66 kgParra
11
62 kgRibeiro
14
59 kgMøller
15
70 kgBernabéu
17
66 kgDe Los Angeles
20
63 kgPlaza
21
68 kgZandio
25
73 kgGarcía Dapena
28
73 kgMosquera
30
65 kgSánchez
33
65 kgMauri
34
68 kgJufré
35
65 kgGarrido
36
68 kgOsa
37
64 kgGuillamón
39
62 kgRumšas
41
64 kgBaranowski
45
68 kgDos Santos
48
62 kg
Weight (KG) →
Result →
73
56
1
48
# | Rider | Weight (KG) |
---|---|---|
1 | REBOLLO José Luis | 61 |
5 | JEKER Fabian | 72 |
6 | MERCADO Juan Miguel | 56 |
7 | SOUSA Rui | 59 |
8 | GAMITO Vitor | 66 |
11 | PARRA Iván Ramiro | 62 |
14 | RIBEIRO Nuno | 59 |
15 | MØLLER Claus Michael | 70 |
17 | BERNABÉU David | 66 |
20 | DE LOS ANGELES Juan José | 63 |
21 | PLAZA David | 68 |
25 | ZANDIO Xabier | 73 |
28 | GARCÍA DAPENA David | 73 |
30 | MOSQUERA Ezequiel | 65 |
33 | SÁNCHEZ Samuel | 65 |
34 | MAURI Melchor | 68 |
35 | JUFRÉ Josep | 65 |
36 | GARRIDO José Antonio | 68 |
37 | OSA Aitor | 64 |
39 | GUILLAMÓN Juan Carlos | 62 |
41 | RUMŠAS Raimondas | 64 |
45 | BARANOWSKI Dariusz | 68 |
48 | DOS SANTOS Virgílio Martins | 62 |