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 = -1.2 * weight + 94
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Guerreiro
1
65 kgRybalkin
2
60 kgGonçalves
3
64 kgSáez
5
75 kgTrueba
7
65 kgCarvalho
8
60 kgStrakhov
9
70 kgLópez-Cózar
11
70 kgFerreira
14
64 kgRibeiro
19
63 kgOlaberria
21
61 kgRodrigues
22
60 kgSerrano
24
65 kgMartingil
28
67 kgOliveira
33
63 kgSilva
36
54 kgVdovin
39
62.5 kgNeves
40
61 kg
1
65 kgRybalkin
2
60 kgGonçalves
3
64 kgSáez
5
75 kgTrueba
7
65 kgCarvalho
8
60 kgStrakhov
9
70 kgLópez-Cózar
11
70 kgFerreira
14
64 kgRibeiro
19
63 kgOlaberria
21
61 kgRodrigues
22
60 kgSerrano
24
65 kgMartingil
28
67 kgOliveira
33
63 kgSilva
36
54 kgVdovin
39
62.5 kgNeves
40
61 kg
Weight (KG) →
Result →
75
54
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUERREIRO Ruben | 65 |
| 2 | RYBALKIN Aleksey | 60 |
| 3 | GONÇALVES Gaspar | 64 |
| 5 | SÁEZ Héctor | 75 |
| 7 | TRUEBA Alvaro | 65 |
| 8 | CARVALHO Rui | 60 |
| 9 | STRAKHOV Dmitry | 70 |
| 11 | LÓPEZ-CÓZAR Juan Antonio | 70 |
| 14 | FERREIRA José | 64 |
| 19 | RIBEIRO David | 63 |
| 21 | OLABERRIA Pello | 61 |
| 22 | RODRIGUES João | 60 |
| 24 | SERRANO Gonzalo | 65 |
| 28 | MARTINGIL César | 67 |
| 33 | OLIVEIRA Fábio | 63 |
| 36 | SILVA Paulo | 54 |
| 39 | VDOVIN Sergey | 62.5 |
| 40 | NEVES José | 61 |