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 = 2.5 * weight - 135
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Ramos
1
65 kgGuamá
3
61 kgRincon Diaz
4
61 kgBolivar
5
64 kgFiorilli
9
63 kgAffonso
14
63 kgSeabra
17
67 kgRosskopf
20
74 kgCalabria
36
55 kgLozano
37
63 kgBulgarelli
39
69 kgNazaret
44
65 kgRagonessi
51
67 kgSchäfer
64
66 kgQuishpe
74
70 kgEldridge
80
84 kgPanizo
81
72 kg
1
65 kgGuamá
3
61 kgRincon Diaz
4
61 kgBolivar
5
64 kgFiorilli
9
63 kgAffonso
14
63 kgSeabra
17
67 kgRosskopf
20
74 kgCalabria
36
55 kgLozano
37
63 kgBulgarelli
39
69 kgNazaret
44
65 kgRagonessi
51
67 kgSchäfer
64
66 kgQuishpe
74
70 kgEldridge
80
84 kgPanizo
81
72 kg
Weight (KG) →
Result →
84
55
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAMOS Kléber | 65 |
| 3 | GUAMÁ Byron | 61 |
| 4 | RINCON DIAZ Wilson Ramiro | 61 |
| 5 | BOLIVAR Isaac | 64 |
| 9 | FIORILLI Tiago | 63 |
| 14 | AFFONSO Murilo | 63 |
| 17 | SEABRA Renato | 67 |
| 20 | ROSSKOPF Joey | 74 |
| 36 | CALABRIA Fabio | 55 |
| 37 | LOZANO David | 63 |
| 39 | BULGARELLI Otavio | 69 |
| 44 | NAZARET Magno | 65 |
| 51 | RAGONESSI José | 67 |
| 64 | SCHÄFER Timo | 66 |
| 74 | QUISHPE Carlos Eduardo | 70 |
| 80 | ELDRIDGE Joe | 84 |
| 81 | PANIZO Gregolry | 72 |