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 - 6
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 kgBertazzo
4
75 kgCaldeira
7
76 kgVinhas
8
59 kgRamos
9
65 kgRojas
14
58 kgFernández
15
69 kgAlarcón
18
72 kgSilva
18
66 kgGil Martinez
22
60 kgMédici
26
70 kgFiorilli
28
63 kgAreruya
36
74 kgCalabria
39
55 kgDiaz
48
61 kgTedeschi
50
69 kgMahler
57
63 kgZhupa
58
78 kgDal Col
59
80 kgArseno
61
71 kgNazaret
71
65 kg
1
62 kgCésar Veloso
2
69 kgAndriato
3
67 kgBertazzo
4
75 kgCaldeira
7
76 kgVinhas
8
59 kgRamos
9
65 kgRojas
14
58 kgFernández
15
69 kgAlarcón
18
72 kgSilva
18
66 kgGil Martinez
22
60 kgMédici
26
70 kgFiorilli
28
63 kgAreruya
36
74 kgCalabria
39
55 kgDiaz
48
61 kgTedeschi
50
69 kgMahler
57
63 kgZhupa
58
78 kgDal Col
59
80 kgArseno
61
71 kgNazaret
71
65 kg
Weight (KG) →
Result →
80
55
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | CÉSAR VELOSO Gustavo | 69 |
| 3 | ANDRIATO Rafael | 67 |
| 4 | BERTAZZO Liam | 75 |
| 7 | CALDEIRA Samuel José | 76 |
| 8 | VINHAS Rui | 59 |
| 9 | RAMOS Kléber | 65 |
| 14 | ROJAS Juan Carlos | 58 |
| 15 | FERNÁNDEZ Delio | 69 |
| 18 | ALARCÓN Raúl | 72 |
| 18 | SILVA Joaquim | 66 |
| 22 | GIL MARTINEZ Tomas Aurelio | 60 |
| 26 | MÉDICI Matías | 70 |
| 28 | FIORILLI Tiago | 63 |
| 36 | ARERUYA Joseph | 74 |
| 39 | CALABRIA Fabio | 55 |
| 48 | DIAZ Daniel | 61 |
| 50 | TEDESCHI Mirko | 69 |
| 57 | MAHLER Nathan | 63 |
| 58 | ZHUPA Eugert | 78 |
| 59 | DAL COL Andrea | 80 |
| 61 | ARSENO Alex | 71 |
| 71 | NAZARET Magno | 65 |