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:
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Jones
14
64 kgMedina
19
65 kgAlmonacid
26
60 kgNazaret
31
65 kgSeabra
33
67 kgPanizo
38
72 kgZhupa
42
78 kgDal Col
44
80 kgMédici
46
70 kgFiorilli
49
63 kgCalabria
52
55 kgIsidoro
56
63 kgMilán
59
67 kgAndriato
61
67 kgHanson
62
74 kgBarbosa
67
63 kgRita
68
62 kgPelucchi
75
74 kgEldridge
77
84 kg
14
64 kgMedina
19
65 kgAlmonacid
26
60 kgNazaret
31
65 kgSeabra
33
67 kgPanizo
38
72 kgZhupa
42
78 kgDal Col
44
80 kgMédici
46
70 kgFiorilli
49
63 kgCalabria
52
55 kgIsidoro
56
63 kgMilán
59
67 kgAndriato
61
67 kgHanson
62
74 kgBarbosa
67
63 kgRita
68
62 kgPelucchi
75
74 kgEldridge
77
84 kg
Weight (KG) →
Result →
84
55
14
77
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | JONES Chris | 64 |
| 19 | MEDINA Jose Alfredo | 65 |
| 26 | ALMONACID Patricio | 60 |
| 31 | NAZARET Magno | 65 |
| 33 | SEABRA Renato | 67 |
| 38 | PANIZO Gregolry | 72 |
| 42 | ZHUPA Eugert | 78 |
| 44 | DAL COL Andrea | 80 |
| 46 | MÉDICI Matías | 70 |
| 49 | FIORILLI Tiago | 63 |
| 52 | CALABRIA Fabio | 55 |
| 56 | ISIDORO Micael | 63 |
| 59 | MILÁN Diego | 67 |
| 61 | ANDRIATO Rafael | 67 |
| 62 | HANSON Ken | 74 |
| 67 | BARBOSA Pedro | 63 |
| 68 | RITA Anderson Getulio Cordeiro | 62 |
| 75 | PELUCCHI Matteo | 74 |
| 77 | ELDRIDGE Joe | 84 |