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 * weight - 45
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Sousa
1
59 kgSilva
8
68 kgRodrigues
9
68 kgVila
10
67 kgPetrov
11
63 kgMercado
13
56 kgFofonov
15
65 kgPalomares
19
56 kgPérez
21
76 kgHernandez
22
70 kgRibeiro
26
59 kgLastras
29
68 kgKarpets
33
79 kgBernabéu
35
66 kgKlimov
41
69 kgTessier
47
70 kgStrauss
48
69 kgBrutt
49
70 kg
1
59 kgSilva
8
68 kgRodrigues
9
68 kgVila
10
67 kgPetrov
11
63 kgMercado
13
56 kgFofonov
15
65 kgPalomares
19
56 kgPérez
21
76 kgHernandez
22
70 kgRibeiro
26
59 kgLastras
29
68 kgKarpets
33
79 kgBernabéu
35
66 kgKlimov
41
69 kgTessier
47
70 kgStrauss
48
69 kgBrutt
49
70 kg
Weight (KG) →
Result →
79
56
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOUSA Rui | 59 |
| 8 | SILVA João Pedro | 68 |
| 9 | RODRIGUES Orlando Sergio | 68 |
| 10 | VILA Francisco Javier | 67 |
| 11 | PETROV Danail Andonov | 63 |
| 13 | MERCADO Juan Miguel | 56 |
| 15 | FOFONOV Dmitriy | 65 |
| 19 | PALOMARES Adrián | 56 |
| 21 | PÉREZ Francisco | 76 |
| 22 | HERNANDEZ Jaime Javier | 70 |
| 26 | RIBEIRO Nuno | 59 |
| 29 | LASTRAS Pablo | 68 |
| 33 | KARPETS Vladimir | 79 |
| 35 | BERNABÉU David | 66 |
| 41 | KLIMOV Sergey | 69 |
| 47 | TESSIER Jean-Michel | 70 |
| 48 | STRAUSS Marcel | 69 |
| 49 | BRUTT Pavel | 70 |