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 = 0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
César Veloso
1
69 kgRamos
2
65 kgAlarcón
4
72 kgFernández
5
69 kgSevilla
6
62 kgVinhas
7
59 kgRojas
9
58 kgSilva
14
66 kgMédici
15
70 kgFiorilli
17
63 kgCaldeira
19
76 kgAndriato
24
67 kgGil Martinez
27
60 kgBertazzo
29
75 kgTedeschi
36
69 kgMahler
37
63 kgDiaz
43
61 kgCalabria
44
55 kgDal Col
49
80 kg
1
69 kgRamos
2
65 kgAlarcón
4
72 kgFernández
5
69 kgSevilla
6
62 kgVinhas
7
59 kgRojas
9
58 kgSilva
14
66 kgMédici
15
70 kgFiorilli
17
63 kgCaldeira
19
76 kgAndriato
24
67 kgGil Martinez
27
60 kgBertazzo
29
75 kgTedeschi
36
69 kgMahler
37
63 kgDiaz
43
61 kgCalabria
44
55 kgDal Col
49
80 kg
Weight (KG) →
Result →
80
55
1
49
| # | 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 |
| 9 | ROJAS Juan Carlos | 58 |
| 14 | SILVA Joaquim | 66 |
| 15 | MÉDICI Matías | 70 |
| 17 | FIORILLI Tiago | 63 |
| 19 | CALDEIRA Samuel José | 76 |
| 24 | ANDRIATO Rafael | 67 |
| 27 | GIL MARTINEZ Tomas Aurelio | 60 |
| 29 | BERTAZZO Liam | 75 |
| 36 | TEDESCHI Mirko | 69 |
| 37 | MAHLER Nathan | 63 |
| 43 | DIAZ Daniel | 61 |
| 44 | CALABRIA Fabio | 55 |
| 49 | DAL COL Andrea | 80 |