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 = 0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Hanson
2
74 kgPelucchi
4
74 kgIsidoro
14
63 kgMilán
19
67 kgAndriato
27
67 kgSeabra
28
67 kgRita
31
62 kgPanizo
35
72 kgNazaret
42
65 kgMédici
46
70 kgZhupa
49
78 kgCalabria
61
55 kgFiorilli
64
63 kgAlmonacid
67
60 kgMedina
75
65 kgBarbosa
80
63 kgJones
81
64 kgDal Col
83
80 kgEldridge
101
84 kg
2
74 kgPelucchi
4
74 kgIsidoro
14
63 kgMilán
19
67 kgAndriato
27
67 kgSeabra
28
67 kgRita
31
62 kgPanizo
35
72 kgNazaret
42
65 kgMédici
46
70 kgZhupa
49
78 kgCalabria
61
55 kgFiorilli
64
63 kgAlmonacid
67
60 kgMedina
75
65 kgBarbosa
80
63 kgJones
81
64 kgDal Col
83
80 kgEldridge
101
84 kg
Weight (KG) →
Result →
84
55
2
101
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HANSON Ken | 74 |
| 4 | PELUCCHI Matteo | 74 |
| 14 | ISIDORO Micael | 63 |
| 19 | MILÁN Diego | 67 |
| 27 | ANDRIATO Rafael | 67 |
| 28 | SEABRA Renato | 67 |
| 31 | RITA Anderson Getulio Cordeiro | 62 |
| 35 | PANIZO Gregolry | 72 |
| 42 | NAZARET Magno | 65 |
| 46 | MÉDICI Matías | 70 |
| 49 | ZHUPA Eugert | 78 |
| 61 | CALABRIA Fabio | 55 |
| 64 | FIORILLI Tiago | 63 |
| 67 | ALMONACID Patricio | 60 |
| 75 | MEDINA Jose Alfredo | 65 |
| 80 | BARBOSA Pedro | 63 |
| 81 | JONES Chris | 64 |
| 83 | DAL COL Andrea | 80 |
| 101 | ELDRIDGE Joe | 84 |