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 = -1.4 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Dal Col
1
80 kgBertazzo
2
75 kgAndriato
3
67 kgRamos
5
65 kgCaldeira
6
76 kgAlarcón
9
72 kgFernández
12
69 kgCalabria
15
55 kgMahler
16
63 kgSevilla
21
62 kgFiorilli
28
63 kgMédici
29
70 kgVinhas
39
59 kgDiaz
43
61 kgGil Martinez
46
60 kgTedeschi
47
69 kgSilva
49
66 kgCésar Veloso
50
69 kgRojas
51
58 kg
1
80 kgBertazzo
2
75 kgAndriato
3
67 kgRamos
5
65 kgCaldeira
6
76 kgAlarcón
9
72 kgFernández
12
69 kgCalabria
15
55 kgMahler
16
63 kgSevilla
21
62 kgFiorilli
28
63 kgMédici
29
70 kgVinhas
39
59 kgDiaz
43
61 kgGil Martinez
46
60 kgTedeschi
47
69 kgSilva
49
66 kgCésar Veloso
50
69 kgRojas
51
58 kg
Weight (KG) →
Result →
80
55
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAL COL Andrea | 80 |
| 2 | BERTAZZO Liam | 75 |
| 3 | ANDRIATO Rafael | 67 |
| 5 | RAMOS Kléber | 65 |
| 6 | CALDEIRA Samuel José | 76 |
| 9 | ALARCÓN Raúl | 72 |
| 12 | FERNÁNDEZ Delio | 69 |
| 15 | CALABRIA Fabio | 55 |
| 16 | MAHLER Nathan | 63 |
| 21 | SEVILLA Óscar | 62 |
| 28 | FIORILLI Tiago | 63 |
| 29 | MÉDICI Matías | 70 |
| 39 | VINHAS Rui | 59 |
| 43 | DIAZ Daniel | 61 |
| 46 | GIL MARTINEZ Tomas Aurelio | 60 |
| 47 | TEDESCHI Mirko | 69 |
| 49 | SILVA Joaquim | 66 |
| 50 | CÉSAR VELOSO Gustavo | 69 |
| 51 | ROJAS Juan Carlos | 58 |