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 + 69
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Jeker
2
72 kgRibeiro
4
59 kgMercado
7
56 kgGamito
9
66 kgBernabéu
10
66 kgSousa
11
59 kgMøller
12
70 kgTiralongo
14
63 kgSánchez
17
65 kgMosquera
18
65 kgPlaza
21
68 kgHorrach
23
70 kgJufré
28
65 kgBaranowski
30
68 kgAmorim
34
67 kgDos Santos
35
62 kgIsasi
37
70 kgMauri
45
68 kgDe Los Angeles
46
63 kgParra
47
62 kgDiaz
48
55 kgAzevedo
50
59 kgGuillamón
52
62 kg
2
72 kgRibeiro
4
59 kgMercado
7
56 kgGamito
9
66 kgBernabéu
10
66 kgSousa
11
59 kgMøller
12
70 kgTiralongo
14
63 kgSánchez
17
65 kgMosquera
18
65 kgPlaza
21
68 kgHorrach
23
70 kgJufré
28
65 kgBaranowski
30
68 kgAmorim
34
67 kgDos Santos
35
62 kgIsasi
37
70 kgMauri
45
68 kgDe Los Angeles
46
63 kgParra
47
62 kgDiaz
48
55 kgAzevedo
50
59 kgGuillamón
52
62 kg
Weight (KG) →
Result →
72
55
2
52
# | Rider | Weight (KG) |
---|---|---|
2 | JEKER Fabian | 72 |
4 | RIBEIRO Nuno | 59 |
7 | MERCADO Juan Miguel | 56 |
9 | GAMITO Vitor | 66 |
10 | BERNABÉU David | 66 |
11 | SOUSA Rui | 59 |
12 | MØLLER Claus Michael | 70 |
14 | TIRALONGO Paolo | 63 |
17 | SÁNCHEZ Samuel | 65 |
18 | MOSQUERA Ezequiel | 65 |
21 | PLAZA David | 68 |
23 | HORRACH Joan Sebastian | 70 |
28 | JUFRÉ Josep | 65 |
30 | BARANOWSKI Dariusz | 68 |
34 | AMORIM Gonçalo | 67 |
35 | DOS SANTOS Virgílio Martins | 62 |
37 | ISASI Iñaki | 70 |
45 | MAURI Melchor | 68 |
46 | DE LOS ANGELES Juan José | 63 |
47 | PARRA Iván Ramiro | 62 |
48 | DIAZ Rafael | 55 |
50 | AZEVEDO José Bento | 59 |
52 | GUILLAMÓN Juan Carlos | 62 |