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 0.2 positions in the result.
Rojas
1
70 kgBelda
2
53 kgSánchez
3
73 kgGarcia
4
55 kgPinto
5
58 kgShilov
7
67 kgSzmyd
9
60 kgMoreno
10
63 kgBarbero
11
66 kgRybalkin
12
60 kgFerrari
13
64 kgMínguez
14
59 kgTxurruka
15
58 kgFigueiredo
16
56 kgCarvalho
17
62 kgArroyo
18
63 kgGarcía de Mateos
19
68 kgKrieger
20
71 kgBusato
21
67 kgChirico
22
58 kgOroz
23
71 kgFernandez
25
63 kg
1
70 kgBelda
2
53 kgSánchez
3
73 kgGarcia
4
55 kgPinto
5
58 kgShilov
7
67 kgSzmyd
9
60 kgMoreno
10
63 kgBarbero
11
66 kgRybalkin
12
60 kgFerrari
13
64 kgMínguez
14
59 kgTxurruka
15
58 kgFigueiredo
16
56 kgCarvalho
17
62 kgArroyo
18
63 kgGarcía de Mateos
19
68 kgKrieger
20
71 kgBusato
21
67 kgChirico
22
58 kgOroz
23
71 kgFernandez
25
63 kg
Weight (KG) →
Result →
73
53
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS José Joaquín | 70 |
| 2 | BELDA David | 53 |
| 3 | SÁNCHEZ Luis León | 73 |
| 4 | GARCIA Marcos | 55 |
| 5 | PINTO Edgar | 58 |
| 7 | SHILOV Sergey | 67 |
| 9 | SZMYD Sylwester | 60 |
| 10 | MORENO Javier | 63 |
| 11 | BARBERO Carlos | 66 |
| 12 | RYBALKIN Aleksey | 60 |
| 13 | FERRARI Fabricio | 64 |
| 14 | MÍNGUEZ Miguel | 59 |
| 15 | TXURRUKA Amets | 58 |
| 16 | FIGUEIREDO Frederico | 56 |
| 17 | CARVALHO Antonio | 62 |
| 18 | ARROYO David | 63 |
| 19 | GARCÍA DE MATEOS Vicente | 68 |
| 20 | KRIEGER Alexander | 71 |
| 21 | BUSATO Matteo | 67 |
| 22 | CHIRICO Luca | 58 |
| 23 | OROZ Juan José | 71 |
| 25 | FERNANDEZ Higinio | 63 |