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 = 0.2 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
César Veloso
1
69 kgAlarcón
3
72 kgRamos
4
65 kgVinhas
5
59 kgFernández
6
69 kgRojas
8
58 kgSilva
9
66 kgSevilla
11
62 kgMédici
13
70 kgCaldeira
16
76 kgFiorilli
21
63 kgBertazzo
26
75 kgGil Martinez
27
60 kgAndriato
28
67 kgZhupa
29
78 kgMahler
32
63 kgDiaz
42
61 kgTedeschi
44
69 kgNazaret
45
65 kgAreruya
46
74 kgDal Col
58
80 kgCalabria
59
55 kg
1
69 kgAlarcón
3
72 kgRamos
4
65 kgVinhas
5
59 kgFernández
6
69 kgRojas
8
58 kgSilva
9
66 kgSevilla
11
62 kgMédici
13
70 kgCaldeira
16
76 kgFiorilli
21
63 kgBertazzo
26
75 kgGil Martinez
27
60 kgAndriato
28
67 kgZhupa
29
78 kgMahler
32
63 kgDiaz
42
61 kgTedeschi
44
69 kgNazaret
45
65 kgAreruya
46
74 kgDal Col
58
80 kgCalabria
59
55 kg
Weight (KG) →
Result →
80
55
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÉSAR VELOSO Gustavo | 69 |
| 3 | ALARCÓN Raúl | 72 |
| 4 | RAMOS Kléber | 65 |
| 5 | VINHAS Rui | 59 |
| 6 | FERNÁNDEZ Delio | 69 |
| 8 | ROJAS Juan Carlos | 58 |
| 9 | SILVA Joaquim | 66 |
| 11 | SEVILLA Óscar | 62 |
| 13 | MÉDICI Matías | 70 |
| 16 | CALDEIRA Samuel José | 76 |
| 21 | FIORILLI Tiago | 63 |
| 26 | BERTAZZO Liam | 75 |
| 27 | GIL MARTINEZ Tomas Aurelio | 60 |
| 28 | ANDRIATO Rafael | 67 |
| 29 | ZHUPA Eugert | 78 |
| 32 | MAHLER Nathan | 63 |
| 42 | DIAZ Daniel | 61 |
| 44 | TEDESCHI Mirko | 69 |
| 45 | NAZARET Magno | 65 |
| 46 | ARERUYA Joseph | 74 |
| 58 | DAL COL Andrea | 80 |
| 59 | CALABRIA Fabio | 55 |