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 = 2.3 * weight - 87
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Monsalve
6
62 kgRodríguez
18
58 kgGálviz
24
65 kgChacón
28
63 kgMerino
29
55 kgUbeto
41
60 kgCárdenas
45
59 kgPujol
47
58 kgOchoa
48
62 kgGil Martinez
55
60 kgDe Negri
63
61 kgPozzo
76
68 kgHulsmans
77
75 kgMerlo
86
63 kgMiletta
87
63 kgKers
91
71 kgGodoy
96
64 kgNieto
106
58 kg
6
62 kgRodríguez
18
58 kgGálviz
24
65 kgChacón
28
63 kgMerino
29
55 kgUbeto
41
60 kgCárdenas
45
59 kgPujol
47
58 kgOchoa
48
62 kgGil Martinez
55
60 kgDe Negri
63
61 kgPozzo
76
68 kgHulsmans
77
75 kgMerlo
86
63 kgMiletta
87
63 kgKers
91
71 kgGodoy
96
64 kgNieto
106
58 kg
Weight (KG) →
Result →
75
55
6
106
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | MONSALVE Yonathan | 62 |
| 18 | RODRÍGUEZ Jackson | 58 |
| 24 | GÁLVIZ Carlos Johan | 65 |
| 28 | CHACÓN José Isidro | 63 |
| 29 | MERINO Pedro | 55 |
| 41 | UBETO Miguel Armando | 60 |
| 45 | CÁRDENAS Félix Rafael | 59 |
| 47 | PUJOL Óscar | 58 |
| 48 | OCHOA Carlos José | 62 |
| 55 | GIL MARTINEZ Tomas Aurelio | 60 |
| 63 | DE NEGRI Pier Paolo | 61 |
| 76 | POZZO Mattia | 68 |
| 77 | HULSMANS Kevin | 75 |
| 86 | MERLO Michele | 63 |
| 87 | MILETTA Luigi | 63 |
| 91 | KERS Koos Jeroen | 71 |
| 96 | GODOY Yonder | 64 |
| 106 | NIETO Edgar | 58 |