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.
Belda
1
53 kgRojas
2
70 kgGarcia
3
55 kgShilov
4
67 kgSzmyd
5
60 kgBarbero
6
66 kgRybalkin
7
60 kgLasca
8
65 kgPinto
9
58 kgSanz
10
67 kgMoreno
11
63 kgCarvalho
14
62 kgGarcía de Mateos
15
68 kgFigueiredo
16
56 kgKrieger
17
71 kgArroyo
18
63 kgMestre
20
58 kgChirico
21
58 kgFreitas
22
64 kgSilva
24
60 kgCardoso
25
70 kg
1
53 kgRojas
2
70 kgGarcia
3
55 kgShilov
4
67 kgSzmyd
5
60 kgBarbero
6
66 kgRybalkin
7
60 kgLasca
8
65 kgPinto
9
58 kgSanz
10
67 kgMoreno
11
63 kgCarvalho
14
62 kgGarcía de Mateos
15
68 kgFigueiredo
16
56 kgKrieger
17
71 kgArroyo
18
63 kgMestre
20
58 kgChirico
21
58 kgFreitas
22
64 kgSilva
24
60 kgCardoso
25
70 kg
Weight (KG) →
Result →
71
53
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELDA David | 53 |
| 2 | ROJAS José Joaquín | 70 |
| 3 | GARCIA Marcos | 55 |
| 4 | SHILOV Sergey | 67 |
| 5 | SZMYD Sylwester | 60 |
| 6 | BARBERO Carlos | 66 |
| 7 | RYBALKIN Aleksey | 60 |
| 8 | LASCA Francesco | 65 |
| 9 | PINTO Edgar | 58 |
| 10 | SANZ Enrique | 67 |
| 11 | MORENO Javier | 63 |
| 14 | CARVALHO Antonio | 62 |
| 15 | GARCÍA DE MATEOS Vicente | 68 |
| 16 | FIGUEIREDO Frederico | 56 |
| 17 | KRIEGER Alexander | 71 |
| 18 | ARROYO David | 63 |
| 20 | MESTRE Ricardo | 58 |
| 21 | CHIRICO Luca | 58 |
| 22 | FREITAS Daniel | 64 |
| 24 | SILVA Sandro Filipe | 60 |
| 25 | CARDOSO Filipe | 70 |