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:
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
César Veloso
1
69 kgAlarcón
3
72 kgRamos
4
65 kgVinhas
5
59 kgFernández
6
69 kgSevilla
7
62 kgSilva
8
66 kgRojas
11
58 kgCaldeira
15
76 kgMédici
18
70 kgFiorilli
22
63 kgAndriato
26
67 kgBertazzo
27
75 kgGil Martinez
31
60 kgDiaz
41
61 kgTedeschi
42
69 kgAreruya
44
74 kgZhupa
46
78 kgMahler
47
63 kgNazaret
51
65 kgCalabria
55
55 kgDal Col
60
80 kg
1
69 kgAlarcón
3
72 kgRamos
4
65 kgVinhas
5
59 kgFernández
6
69 kgSevilla
7
62 kgSilva
8
66 kgRojas
11
58 kgCaldeira
15
76 kgMédici
18
70 kgFiorilli
22
63 kgAndriato
26
67 kgBertazzo
27
75 kgGil Martinez
31
60 kgDiaz
41
61 kgTedeschi
42
69 kgAreruya
44
74 kgZhupa
46
78 kgMahler
47
63 kgNazaret
51
65 kgCalabria
55
55 kgDal Col
60
80 kg
Weight (KG) →
Result →
80
55
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÉSAR VELOSO Gustavo | 69 |
| 3 | ALARCÓN Raúl | 72 |
| 4 | RAMOS Kléber | 65 |
| 5 | VINHAS Rui | 59 |
| 6 | FERNÁNDEZ Delio | 69 |
| 7 | SEVILLA Óscar | 62 |
| 8 | SILVA Joaquim | 66 |
| 11 | ROJAS Juan Carlos | 58 |
| 15 | CALDEIRA Samuel José | 76 |
| 18 | MÉDICI Matías | 70 |
| 22 | FIORILLI Tiago | 63 |
| 26 | ANDRIATO Rafael | 67 |
| 27 | BERTAZZO Liam | 75 |
| 31 | GIL MARTINEZ Tomas Aurelio | 60 |
| 41 | DIAZ Daniel | 61 |
| 42 | TEDESCHI Mirko | 69 |
| 44 | ARERUYA Joseph | 74 |
| 46 | ZHUPA Eugert | 78 |
| 47 | MAHLER Nathan | 63 |
| 51 | NAZARET Magno | 65 |
| 55 | CALABRIA Fabio | 55 |
| 60 | DAL COL Andrea | 80 |