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 * weight - 11
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Monsalve
2
62 kgGálviz
6
65 kgCárdenas
7
59 kgChicchi
10
76 kgBusato
11
67 kgOchoa
20
62 kgChacón
22
63 kgNieto
64
58 kgColli
71
73 kgCarretero
72
62 kgGodoy
74
64 kgGil Martinez
76
60 kgMiletta
78
63 kgBertazzo
81
75 kgGuevara
89
65 kgFedi
92
70 kgDal Col
99
80 kgPozzo
103
68 kgChirico
104
58 kg
2
62 kgGálviz
6
65 kgCárdenas
7
59 kgChicchi
10
76 kgBusato
11
67 kgOchoa
20
62 kgChacón
22
63 kgNieto
64
58 kgColli
71
73 kgCarretero
72
62 kgGodoy
74
64 kgGil Martinez
76
60 kgMiletta
78
63 kgBertazzo
81
75 kgGuevara
89
65 kgFedi
92
70 kgDal Col
99
80 kgPozzo
103
68 kgChirico
104
58 kg
Weight (KG) →
Result →
80
58
2
104
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONSALVE Yonathan | 62 |
| 6 | GÁLVIZ Carlos Johan | 65 |
| 7 | CÁRDENAS Félix Rafael | 59 |
| 10 | CHICCHI Francesco | 76 |
| 11 | BUSATO Matteo | 67 |
| 20 | OCHOA Carlos José | 62 |
| 22 | CHACÓN José Isidro | 63 |
| 64 | NIETO Edgar | 58 |
| 71 | COLLI Daniele | 73 |
| 72 | CARRETERO Ramón | 62 |
| 74 | GODOY Yonder | 64 |
| 76 | GIL MARTINEZ Tomas Aurelio | 60 |
| 78 | MILETTA Luigi | 63 |
| 81 | BERTAZZO Liam | 75 |
| 89 | GUEVARA Manuel Enrique | 65 |
| 92 | FEDI Andrea | 70 |
| 99 | DAL COL Andrea | 80 |
| 103 | POZZO Mattia | 68 |
| 104 | CHIRICO Luca | 58 |