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 + 19
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Jones
2
64 kgHanson
5
74 kgMilán
6
67 kgNazaret
10
65 kgSeabra
12
67 kgIsidoro
13
63 kgPanizo
25
72 kgZhupa
27
78 kgMédici
30
70 kgAndriato
31
67 kgDal Col
37
80 kgAlmonacid
43
60 kgMedina
47
65 kgFiorilli
49
63 kgCalabria
52
55 kgPelucchi
65
74 kgRita
74
62 kgBarbosa
76
63 kgEldridge
86
84 kg
2
64 kgHanson
5
74 kgMilán
6
67 kgNazaret
10
65 kgSeabra
12
67 kgIsidoro
13
63 kgPanizo
25
72 kgZhupa
27
78 kgMédici
30
70 kgAndriato
31
67 kgDal Col
37
80 kgAlmonacid
43
60 kgMedina
47
65 kgFiorilli
49
63 kgCalabria
52
55 kgPelucchi
65
74 kgRita
74
62 kgBarbosa
76
63 kgEldridge
86
84 kg
Weight (KG) →
Result →
84
55
2
86
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JONES Chris | 64 |
| 5 | HANSON Ken | 74 |
| 6 | MILÁN Diego | 67 |
| 10 | NAZARET Magno | 65 |
| 12 | SEABRA Renato | 67 |
| 13 | ISIDORO Micael | 63 |
| 25 | PANIZO Gregolry | 72 |
| 27 | ZHUPA Eugert | 78 |
| 30 | MÉDICI Matías | 70 |
| 31 | ANDRIATO Rafael | 67 |
| 37 | DAL COL Andrea | 80 |
| 43 | ALMONACID Patricio | 60 |
| 47 | MEDINA Jose Alfredo | 65 |
| 49 | FIORILLI Tiago | 63 |
| 52 | CALABRIA Fabio | 55 |
| 65 | PELUCCHI Matteo | 74 |
| 74 | RITA Anderson Getulio Cordeiro | 62 |
| 76 | BARBOSA Pedro | 63 |
| 86 | ELDRIDGE Joe | 84 |