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 = 2.2 * weight - 78
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Gálviz
6
65 kgCárdenas
9
59 kgMonsalve
24
62 kgChacón
36
63 kgMiletta
59
63 kgGodoy
62
64 kgGil Martinez
63
60 kgNieto
66
58 kgChirico
71
58 kgBusato
74
67 kgChicchi
83
76 kgColli
84
73 kgDal Col
87
80 kgFedi
88
70 kgPozzo
89
68 kgCarretero
91
62 kgBertazzo
92
75 kgGuevara
96
65 kg
6
65 kgCárdenas
9
59 kgMonsalve
24
62 kgChacón
36
63 kgMiletta
59
63 kgGodoy
62
64 kgGil Martinez
63
60 kgNieto
66
58 kgChirico
71
58 kgBusato
74
67 kgChicchi
83
76 kgColli
84
73 kgDal Col
87
80 kgFedi
88
70 kgPozzo
89
68 kgCarretero
91
62 kgBertazzo
92
75 kgGuevara
96
65 kg
Weight (KG) →
Result →
80
58
6
96
# | Rider | Weight (KG) |
---|---|---|
6 | GÁLVIZ Carlos Johan | 65 |
9 | CÁRDENAS Félix Rafael | 59 |
24 | MONSALVE Yonathan | 62 |
36 | CHACÓN José Isidro | 63 |
59 | MILETTA Luigi | 63 |
62 | GODOY Yonder | 64 |
63 | GIL MARTINEZ Tomas Aurelio | 60 |
66 | NIETO Edgar | 58 |
71 | CHIRICO Luca | 58 |
74 | BUSATO Matteo | 67 |
83 | CHICCHI Francesco | 76 |
84 | COLLI Daniele | 73 |
87 | DAL COL Andrea | 80 |
88 | FEDI Andrea | 70 |
89 | POZZO Mattia | 68 |
91 | CARRETERO Ramón | 62 |
92 | BERTAZZO Liam | 75 |
96 | GUEVARA Manuel Enrique | 65 |