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 = 1.3 * weight - 39
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Ramos
3
65 kgGuamá
18
61 kgLozano
19
63 kgAffonso
24
63 kgRosskopf
28
74 kgCalabria
37
55 kgSeabra
40
67 kgFiorilli
42
63 kgRagonessi
44
67 kgBolivar
45
64 kgNazaret
50
65 kgPanizo
55
72 kgQuishpe
58
70 kgRincon Diaz
65
61 kgBulgarelli
66
69 kgEldridge
71
84 kgSchäfer
82
66 kg
3
65 kgGuamá
18
61 kgLozano
19
63 kgAffonso
24
63 kgRosskopf
28
74 kgCalabria
37
55 kgSeabra
40
67 kgFiorilli
42
63 kgRagonessi
44
67 kgBolivar
45
64 kgNazaret
50
65 kgPanizo
55
72 kgQuishpe
58
70 kgRincon Diaz
65
61 kgBulgarelli
66
69 kgEldridge
71
84 kgSchäfer
82
66 kg
Weight (KG) →
Result →
84
55
3
82
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAMOS Kléber | 65 |
| 18 | GUAMÁ Byron | 61 |
| 19 | LOZANO David | 63 |
| 24 | AFFONSO Murilo | 63 |
| 28 | ROSSKOPF Joey | 74 |
| 37 | CALABRIA Fabio | 55 |
| 40 | SEABRA Renato | 67 |
| 42 | FIORILLI Tiago | 63 |
| 44 | RAGONESSI José | 67 |
| 45 | BOLIVAR Isaac | 64 |
| 50 | NAZARET Magno | 65 |
| 55 | PANIZO Gregolry | 72 |
| 58 | QUISHPE Carlos Eduardo | 70 |
| 65 | RINCON DIAZ Wilson Ramiro | 61 |
| 66 | BULGARELLI Otavio | 69 |
| 71 | ELDRIDGE Joe | 84 |
| 82 | SCHÄFER Timo | 66 |