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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ribeiro
1
66.5 kgMagalhaes
3
70 kgShalunov
4
70 kgTrueba
5
65 kgGuerreiro
6
65 kgGonçalves
9
64 kgStrakhov
10
70 kgSilva
11
66 kgRodrigues
12
69 kgCoutinho
13
68 kgRybalkin
14
60 kgMartingil
15
67 kgGonzález
16
62.5 kgVaz
17
63 kgAngulo
19
67 kgReis
22
74 kgSáez
28
75 kgRibeiro
31
63 kg
1
66.5 kgMagalhaes
3
70 kgShalunov
4
70 kgTrueba
5
65 kgGuerreiro
6
65 kgGonçalves
9
64 kgStrakhov
10
70 kgSilva
11
66 kgRodrigues
12
69 kgCoutinho
13
68 kgRybalkin
14
60 kgMartingil
15
67 kgGonzález
16
62.5 kgVaz
17
63 kgAngulo
19
67 kgReis
22
74 kgSáez
28
75 kgRibeiro
31
63 kg
Weight (KG) →
Result →
75
60
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIBEIRO Carlos | 66.5 |
| 3 | MAGALHAES Samuel | 70 |
| 4 | SHALUNOV Evgeny | 70 |
| 5 | TRUEBA Alvaro | 65 |
| 6 | GUERREIRO Ruben | 65 |
| 9 | GONÇALVES Gaspar | 64 |
| 10 | STRAKHOV Dmitry | 70 |
| 11 | SILVA Joaquim | 66 |
| 12 | RODRIGUES Rui Emanuel | 69 |
| 13 | COUTINHO Leonel | 68 |
| 14 | RYBALKIN Aleksey | 60 |
| 15 | MARTINGIL César | 67 |
| 16 | GONZÁLEZ Óscar | 62.5 |
| 17 | VAZ Hugo | 63 |
| 19 | ANGULO Antonio | 67 |
| 22 | REIS Rafael | 74 |
| 28 | SÁEZ Héctor | 75 |
| 31 | RIBEIRO David | 63 |