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 = 0.5 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Sevilla
1
62 kgCésar Veloso
2
69 kgAndriato
3
67 kgSilva
5
66 kgAlarcón
6
72 kgBertazzo
7
75 kgCaldeira
10
76 kgVinhas
11
59 kgRamos
12
65 kgRojas
18
58 kgFernández
19
69 kgGil Martinez
24
60 kgMédici
28
70 kgFiorilli
30
63 kgAreruya
38
74 kgCalabria
41
55 kgDiaz
50
61 kgTedeschi
52
69 kgMahler
59
63 kgZhupa
60
78 kgDal Col
61
80 kgArseno
63
71 kgNazaret
73
65 kg
1
62 kgCésar Veloso
2
69 kgAndriato
3
67 kgSilva
5
66 kgAlarcón
6
72 kgBertazzo
7
75 kgCaldeira
10
76 kgVinhas
11
59 kgRamos
12
65 kgRojas
18
58 kgFernández
19
69 kgGil Martinez
24
60 kgMédici
28
70 kgFiorilli
30
63 kgAreruya
38
74 kgCalabria
41
55 kgDiaz
50
61 kgTedeschi
52
69 kgMahler
59
63 kgZhupa
60
78 kgDal Col
61
80 kgArseno
63
71 kgNazaret
73
65 kg
Weight (KG) →
Result →
80
55
1
73
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | CÉSAR VELOSO Gustavo | 69 |
| 3 | ANDRIATO Rafael | 67 |
| 5 | SILVA Joaquim | 66 |
| 6 | ALARCÓN Raúl | 72 |
| 7 | BERTAZZO Liam | 75 |
| 10 | CALDEIRA Samuel José | 76 |
| 11 | VINHAS Rui | 59 |
| 12 | RAMOS Kléber | 65 |
| 18 | ROJAS Juan Carlos | 58 |
| 19 | FERNÁNDEZ Delio | 69 |
| 24 | GIL MARTINEZ Tomas Aurelio | 60 |
| 28 | MÉDICI Matías | 70 |
| 30 | FIORILLI Tiago | 63 |
| 38 | ARERUYA Joseph | 74 |
| 41 | CALABRIA Fabio | 55 |
| 50 | DIAZ Daniel | 61 |
| 52 | TEDESCHI Mirko | 69 |
| 59 | MAHLER Nathan | 63 |
| 60 | ZHUPA Eugert | 78 |
| 61 | DAL COL Andrea | 80 |
| 63 | ARSENO Alex | 71 |
| 73 | NAZARET Magno | 65 |