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.
Magalhaes
1
70 kgRibeiro
2
66.5 kgGuerreiro
3
65 kgGonçalves
5
64 kgSilva
6
66 kgRodrigues
7
69 kgCoutinho
9
68 kgRybalkin
10
60 kgTrueba
12
65 kgMartingil
13
67 kgGonzález
14
62.5 kgShalunov
15
70 kgStrakhov
16
70 kgVaz
17
63 kgAngulo
18
67 kgSáez
24
75 kgRibeiro
28
63 kg
1
70 kgRibeiro
2
66.5 kgGuerreiro
3
65 kgGonçalves
5
64 kgSilva
6
66 kgRodrigues
7
69 kgCoutinho
9
68 kgRybalkin
10
60 kgTrueba
12
65 kgMartingil
13
67 kgGonzález
14
62.5 kgShalunov
15
70 kgStrakhov
16
70 kgVaz
17
63 kgAngulo
18
67 kgSáez
24
75 kgRibeiro
28
63 kg
Weight (KG) →
Result →
75
60
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGALHAES Samuel | 70 |
| 2 | RIBEIRO Carlos | 66.5 |
| 3 | GUERREIRO Ruben | 65 |
| 5 | GONÇALVES Gaspar | 64 |
| 6 | SILVA Joaquim | 66 |
| 7 | RODRIGUES Rui Emanuel | 69 |
| 9 | COUTINHO Leonel | 68 |
| 10 | RYBALKIN Aleksey | 60 |
| 12 | TRUEBA Alvaro | 65 |
| 13 | MARTINGIL César | 67 |
| 14 | GONZÁLEZ Óscar | 62.5 |
| 15 | SHALUNOV Evgeny | 70 |
| 16 | STRAKHOV Dmitry | 70 |
| 17 | VAZ Hugo | 63 |
| 18 | ANGULO Antonio | 67 |
| 24 | SÁEZ Héctor | 75 |
| 28 | RIBEIRO David | 63 |