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 = 1.6 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Benfatto
1
71 kgAular
2
65 kgQuintero
5
67 kgGuamá
16
61 kgGodoy
19
64 kgParra
20
51 kgRodríguez
27
58 kgPedraza
32
58 kgFlórez
34
57 kgLaverde
46
63 kgViel
52
72 kgMuñoz
54
57 kgSerpa
55
64 kgRivera
63
56 kgMonsalve
67
62 kgMerchan
77
57 kgGálviz
80
65 kgCruz
90
59 kgAlzate
106
74 kgFedrigo
114
76 kgCastaño
120
66 kg
1
71 kgAular
2
65 kgQuintero
5
67 kgGuamá
16
61 kgGodoy
19
64 kgParra
20
51 kgRodríguez
27
58 kgPedraza
32
58 kgFlórez
34
57 kgLaverde
46
63 kgViel
52
72 kgMuñoz
54
57 kgSerpa
55
64 kgRivera
63
56 kgMonsalve
67
62 kgMerchan
77
57 kgGálviz
80
65 kgCruz
90
59 kgAlzate
106
74 kgFedrigo
114
76 kgCastaño
120
66 kg
Weight (KG) →
Result →
76
51
1
120
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENFATTO Marco | 71 |
| 2 | AULAR Orluis | 65 |
| 5 | QUINTERO Leonel | 67 |
| 16 | GUAMÁ Byron | 61 |
| 19 | GODOY Yonder | 64 |
| 20 | PARRA Heiner Rodrigo | 51 |
| 27 | RODRÍGUEZ Jackson | 58 |
| 32 | PEDRAZA Wálter Fernando | 58 |
| 34 | FLÓREZ Miguel Eduardo | 57 |
| 46 | LAVERDE Luis Felipe | 63 |
| 52 | VIEL Mattia | 72 |
| 54 | MUÑOZ Daniel | 57 |
| 55 | SERPA José Rodolfo | 64 |
| 63 | RIVERA Kevin | 56 |
| 67 | MONSALVE Yonathan | 62 |
| 77 | MERCHAN Didier | 57 |
| 80 | GÁLVIZ Carlos Johan | 65 |
| 90 | CRUZ Adderlyn Félix | 59 |
| 106 | ALZATE Carlos | 74 |
| 114 | FEDRIGO Leonardo | 76 |
| 120 | CASTAÑO Erick | 66 |