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 = 2.7 * weight - 144
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Ramos
3
65 kgGuamá
5
61 kgCalabria
12
55 kgLozano
13
63 kgBolivar
16
64 kgSeabra
21
67 kgBulgarelli
22
69 kgNazaret
33
65 kgAffonso
34
63 kgFiorilli
37
63 kgRincon Diaz
40
61 kgRosskopf
42
74 kgPanizo
48
72 kgSchäfer
61
66 kgRagonessi
69
67 kgQuishpe
72
70 kgEldridge
91
84 kg
3
65 kgGuamá
5
61 kgCalabria
12
55 kgLozano
13
63 kgBolivar
16
64 kgSeabra
21
67 kgBulgarelli
22
69 kgNazaret
33
65 kgAffonso
34
63 kgFiorilli
37
63 kgRincon Diaz
40
61 kgRosskopf
42
74 kgPanizo
48
72 kgSchäfer
61
66 kgRagonessi
69
67 kgQuishpe
72
70 kgEldridge
91
84 kg
Weight (KG) →
Result →
84
55
3
91
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAMOS Kléber | 65 |
| 5 | GUAMÁ Byron | 61 |
| 12 | CALABRIA Fabio | 55 |
| 13 | LOZANO David | 63 |
| 16 | BOLIVAR Isaac | 64 |
| 21 | SEABRA Renato | 67 |
| 22 | BULGARELLI Otavio | 69 |
| 33 | NAZARET Magno | 65 |
| 34 | AFFONSO Murilo | 63 |
| 37 | FIORILLI Tiago | 63 |
| 40 | RINCON DIAZ Wilson Ramiro | 61 |
| 42 | ROSSKOPF Joey | 74 |
| 48 | PANIZO Gregolry | 72 |
| 61 | SCHÄFER Timo | 66 |
| 69 | RAGONESSI José | 67 |
| 72 | QUISHPE Carlos Eduardo | 70 |
| 91 | ELDRIDGE Joe | 84 |