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 = 1.8 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Cárdenas
5
59 kgMonsalve
8
62 kgGálviz
11
65 kgChacón
17
63 kgColli
34
73 kgMiletta
37
63 kgNieto
53
58 kgGil Martinez
60
60 kgChirico
65
58 kgBusato
78
67 kgBertazzo
79
75 kgDal Col
80
80 kgPozzo
84
68 kgChicchi
85
76 kgFedi
89
70 kgGuevara
90
65 kgCarretero
96
62 kgGodoy
99
64 kg
5
59 kgMonsalve
8
62 kgGálviz
11
65 kgChacón
17
63 kgColli
34
73 kgMiletta
37
63 kgNieto
53
58 kgGil Martinez
60
60 kgChirico
65
58 kgBusato
78
67 kgBertazzo
79
75 kgDal Col
80
80 kgPozzo
84
68 kgChicchi
85
76 kgFedi
89
70 kgGuevara
90
65 kgCarretero
96
62 kgGodoy
99
64 kg
Weight (KG) →
Result →
80
58
5
99
# | Rider | Weight (KG) |
---|---|---|
5 | CÁRDENAS Félix Rafael | 59 |
8 | MONSALVE Yonathan | 62 |
11 | GÁLVIZ Carlos Johan | 65 |
17 | CHACÓN José Isidro | 63 |
34 | COLLI Daniele | 73 |
37 | MILETTA Luigi | 63 |
53 | NIETO Edgar | 58 |
60 | GIL MARTINEZ Tomas Aurelio | 60 |
65 | CHIRICO Luca | 58 |
78 | BUSATO Matteo | 67 |
79 | BERTAZZO Liam | 75 |
80 | DAL COL Andrea | 80 |
84 | POZZO Mattia | 68 |
85 | CHICCHI Francesco | 76 |
89 | FEDI Andrea | 70 |
90 | GUEVARA Manuel Enrique | 65 |
96 | CARRETERO Ramón | 62 |
99 | GODOY Yonder | 64 |