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 + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
César Veloso
1
69 kgRamos
2
65 kgAlarcón
4
72 kgFernández
5
69 kgSevilla
6
62 kgVinhas
7
59 kgRojas
10
58 kgSilva
15
66 kgMédici
16
70 kgFiorilli
20
63 kgCaldeira
22
76 kgAndriato
27
67 kgGil Martinez
29
60 kgBertazzo
33
75 kgAreruya
36
74 kgTedeschi
39
69 kgMahler
42
63 kgDiaz
50
61 kgCalabria
51
55 kgNazaret
54
65 kgDal Col
58
80 kg
1
69 kgRamos
2
65 kgAlarcón
4
72 kgFernández
5
69 kgSevilla
6
62 kgVinhas
7
59 kgRojas
10
58 kgSilva
15
66 kgMédici
16
70 kgFiorilli
20
63 kgCaldeira
22
76 kgAndriato
27
67 kgGil Martinez
29
60 kgBertazzo
33
75 kgAreruya
36
74 kgTedeschi
39
69 kgMahler
42
63 kgDiaz
50
61 kgCalabria
51
55 kgNazaret
54
65 kgDal Col
58
80 kg
Weight (KG) →
Result →
80
55
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÉSAR VELOSO Gustavo | 69 |
| 2 | RAMOS Kléber | 65 |
| 4 | ALARCÓN Raúl | 72 |
| 5 | FERNÁNDEZ Delio | 69 |
| 6 | SEVILLA Óscar | 62 |
| 7 | VINHAS Rui | 59 |
| 10 | ROJAS Juan Carlos | 58 |
| 15 | SILVA Joaquim | 66 |
| 16 | MÉDICI Matías | 70 |
| 20 | FIORILLI Tiago | 63 |
| 22 | CALDEIRA Samuel José | 76 |
| 27 | ANDRIATO Rafael | 67 |
| 29 | GIL MARTINEZ Tomas Aurelio | 60 |
| 33 | BERTAZZO Liam | 75 |
| 36 | ARERUYA Joseph | 74 |
| 39 | TEDESCHI Mirko | 69 |
| 42 | MAHLER Nathan | 63 |
| 50 | DIAZ Daniel | 61 |
| 51 | CALABRIA Fabio | 55 |
| 54 | NAZARET Magno | 65 |
| 58 | DAL COL Andrea | 80 |