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 = -0.1 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hanson
4
74 kgPelucchi
6
74 kgMilán
11
67 kgNazaret
29
65 kgRita
32
62 kgJones
35
64 kgIsidoro
39
63 kgSeabra
44
67 kgZhupa
57
78 kgMedina
61
65 kgAlmonacid
63
60 kgPanizo
65
72 kgAndriato
70
67 kgMédici
71
70 kgFiorilli
75
63 kgEldridge
77
84 kgBarbosa
80
63 kgDal Col
82
80 kgCalabria
83
55 kg
4
74 kgPelucchi
6
74 kgMilán
11
67 kgNazaret
29
65 kgRita
32
62 kgJones
35
64 kgIsidoro
39
63 kgSeabra
44
67 kgZhupa
57
78 kgMedina
61
65 kgAlmonacid
63
60 kgPanizo
65
72 kgAndriato
70
67 kgMédici
71
70 kgFiorilli
75
63 kgEldridge
77
84 kgBarbosa
80
63 kgDal Col
82
80 kgCalabria
83
55 kg
Weight (KG) →
Result →
84
55
4
83
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HANSON Ken | 74 |
| 6 | PELUCCHI Matteo | 74 |
| 11 | MILÁN Diego | 67 |
| 29 | NAZARET Magno | 65 |
| 32 | RITA Anderson Getulio Cordeiro | 62 |
| 35 | JONES Chris | 64 |
| 39 | ISIDORO Micael | 63 |
| 44 | SEABRA Renato | 67 |
| 57 | ZHUPA Eugert | 78 |
| 61 | MEDINA Jose Alfredo | 65 |
| 63 | ALMONACID Patricio | 60 |
| 65 | PANIZO Gregolry | 72 |
| 70 | ANDRIATO Rafael | 67 |
| 71 | MÉDICI Matías | 70 |
| 75 | FIORILLI Tiago | 63 |
| 77 | ELDRIDGE Joe | 84 |
| 80 | BARBOSA Pedro | 63 |
| 82 | DAL COL Andrea | 80 |
| 83 | CALABRIA Fabio | 55 |