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 = 0.3 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
de la Cruz
1
66 kgFraile
2
72 kgGonçalves
3
70 kgSimón
4
64 kgBizkarra
5
53 kgBrandão
6
64 kgGonçalves
7
70 kgRuíz
10
66 kgAntunes
13
58 kgBagües
14
67 kgJanse van Rensburg
17
74 kgSilva
22
65 kgDomagalski
23
77 kgCarvalho
24
62 kgGrmay
25
63 kgAberasturi
26
69 kgPaulinho
28
75 kgVale
29
65 kgAfonso
30
56 kgBarbero
32
66 kgReis
33
72 kgMas
36
69 kgCabello
37
67 kg
1
66 kgFraile
2
72 kgGonçalves
3
70 kgSimón
4
64 kgBizkarra
5
53 kgBrandão
6
64 kgGonçalves
7
70 kgRuíz
10
66 kgAntunes
13
58 kgBagües
14
67 kgJanse van Rensburg
17
74 kgSilva
22
65 kgDomagalski
23
77 kgCarvalho
24
62 kgGrmay
25
63 kgAberasturi
26
69 kgPaulinho
28
75 kgVale
29
65 kgAfonso
30
56 kgBarbero
32
66 kgReis
33
72 kgMas
36
69 kgCabello
37
67 kg
Weight (KG) →
Result →
77
53
1
37
# | Rider | Weight (KG) |
---|---|---|
1 | DE LA CRUZ David | 66 |
2 | FRAILE Omar | 72 |
3 | GONÇALVES José | 70 |
4 | SIMÓN Jordi | 64 |
5 | BIZKARRA Mikel | 53 |
6 | BRANDÃO Joni | 64 |
7 | GONÇALVES Domingos | 70 |
10 | RUÍZ Eloy | 66 |
13 | ANTUNES Amaro | 58 |
14 | BAGÜES Aritz | 67 |
17 | JANSE VAN RENSBURG Reinardt | 74 |
22 | SILVA Rafael | 65 |
23 | DOMAGALSKI Karol | 77 |
24 | CARVALHO Antonio | 62 |
25 | GRMAY Tsgabu | 63 |
26 | ABERASTURI Jon | 69 |
28 | PAULINHO Pedro | 75 |
29 | VALE Ricardo | 65 |
30 | AFONSO Luis | 56 |
32 | BARBERO Carlos | 66 |
33 | REIS Rafael | 72 |
36 | MAS Lluís | 69 |
37 | CABELLO Antonio | 67 |