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 = -0.8 * weight + 91
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Jones
2
64 kgHanson
5
74 kgAndriato
6
67 kgPelucchi
8
74 kgDal Col
10
80 kgMilán
12
67 kgSeabra
21
67 kgNazaret
24
65 kgIsidoro
29
63 kgPanizo
32
72 kgZhupa
44
78 kgFiorilli
50
63 kgAlmonacid
56
60 kgMedina
57
65 kgMédici
62
70 kgCalabria
67
55 kgBarbosa
86
63 kgEldridge
87
84 kgRita
91
62 kg
2
64 kgHanson
5
74 kgAndriato
6
67 kgPelucchi
8
74 kgDal Col
10
80 kgMilán
12
67 kgSeabra
21
67 kgNazaret
24
65 kgIsidoro
29
63 kgPanizo
32
72 kgZhupa
44
78 kgFiorilli
50
63 kgAlmonacid
56
60 kgMedina
57
65 kgMédici
62
70 kgCalabria
67
55 kgBarbosa
86
63 kgEldridge
87
84 kgRita
91
62 kg
Weight (KG) →
Result →
84
55
2
91
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JONES Chris | 64 |
| 5 | HANSON Ken | 74 |
| 6 | ANDRIATO Rafael | 67 |
| 8 | PELUCCHI Matteo | 74 |
| 10 | DAL COL Andrea | 80 |
| 12 | MILÁN Diego | 67 |
| 21 | SEABRA Renato | 67 |
| 24 | NAZARET Magno | 65 |
| 29 | ISIDORO Micael | 63 |
| 32 | PANIZO Gregolry | 72 |
| 44 | ZHUPA Eugert | 78 |
| 50 | FIORILLI Tiago | 63 |
| 56 | ALMONACID Patricio | 60 |
| 57 | MEDINA Jose Alfredo | 65 |
| 62 | MÉDICI Matías | 70 |
| 67 | CALABRIA Fabio | 55 |
| 86 | BARBOSA Pedro | 63 |
| 87 | ELDRIDGE Joe | 84 |
| 91 | RITA Anderson Getulio Cordeiro | 62 |