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 - 17
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Ramos
1
65 kgSevilla
3
62 kgCésar Veloso
4
69 kgAlarcón
7
72 kgFernández
7
69 kgRojas
9
58 kgVinhas
12
59 kgFiorilli
14
63 kgAreruya
21
74 kgAndriato
25
67 kgMédici
27
70 kgMahler
30
63 kgSilva
32
66 kgTedeschi
33
69 kgGil Martinez
34
60 kgCalabria
41
55 kgCaldeira
46
76 kgDiaz
49
61 kgDal Col
51
80 kgBertazzo
53
75 kgNazaret
57
65 kg
1
65 kgSevilla
3
62 kgCésar Veloso
4
69 kgAlarcón
7
72 kgFernández
7
69 kgRojas
9
58 kgVinhas
12
59 kgFiorilli
14
63 kgAreruya
21
74 kgAndriato
25
67 kgMédici
27
70 kgMahler
30
63 kgSilva
32
66 kgTedeschi
33
69 kgGil Martinez
34
60 kgCalabria
41
55 kgCaldeira
46
76 kgDiaz
49
61 kgDal Col
51
80 kgBertazzo
53
75 kgNazaret
57
65 kg
Weight (KG) →
Result →
80
55
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAMOS Kléber | 65 |
| 3 | SEVILLA Óscar | 62 |
| 4 | CÉSAR VELOSO Gustavo | 69 |
| 7 | ALARCÓN Raúl | 72 |
| 7 | FERNÁNDEZ Delio | 69 |
| 9 | ROJAS Juan Carlos | 58 |
| 12 | VINHAS Rui | 59 |
| 14 | FIORILLI Tiago | 63 |
| 21 | ARERUYA Joseph | 74 |
| 25 | ANDRIATO Rafael | 67 |
| 27 | MÉDICI Matías | 70 |
| 30 | MAHLER Nathan | 63 |
| 32 | SILVA Joaquim | 66 |
| 33 | TEDESCHI Mirko | 69 |
| 34 | GIL MARTINEZ Tomas Aurelio | 60 |
| 41 | CALABRIA Fabio | 55 |
| 46 | CALDEIRA Samuel José | 76 |
| 49 | DIAZ Daniel | 61 |
| 51 | DAL COL Andrea | 80 |
| 53 | BERTAZZO Liam | 75 |
| 57 | NAZARET Magno | 65 |