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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
de la Fuente
1
67 kgPinot
3
63 kgSánchez
4
60 kgPetrov
5
70 kgKangert
6
65 kgChristensen
7
69 kgAstarloza
8
72 kgPineau
9
65 kgCosta
10
69 kgBrajkovič
11
60 kgBravo
12
61 kgOroz
13
71 kgNerz
15
67 kgGasparotto
16
65 kgNiemiec
17
62 kgHerrada
18
65 kgClement
19
66 kgPossoni
20
56 kg
1
67 kgPinot
3
63 kgSánchez
4
60 kgPetrov
5
70 kgKangert
6
65 kgChristensen
7
69 kgAstarloza
8
72 kgPineau
9
65 kgCosta
10
69 kgBrajkovič
11
60 kgBravo
12
61 kgOroz
13
71 kgNerz
15
67 kgGasparotto
16
65 kgNiemiec
17
62 kgHerrada
18
65 kgClement
19
66 kgPossoni
20
56 kg
Weight (KG) →
Result →
72
56
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LA FUENTE David | 67 |
| 3 | PINOT Thibaut | 63 |
| 4 | SÁNCHEZ Julián | 60 |
| 5 | PETROV Evgeni | 70 |
| 6 | KANGERT Tanel | 65 |
| 7 | CHRISTENSEN Mads | 69 |
| 8 | ASTARLOZA Mikel | 72 |
| 9 | PINEAU Jérôme | 65 |
| 10 | COSTA Rui | 69 |
| 11 | BRAJKOVIČ Janez | 60 |
| 12 | BRAVO Garikoitz | 61 |
| 13 | OROZ Juan José | 71 |
| 15 | NERZ Dominik | 67 |
| 16 | GASPAROTTO Enrico | 65 |
| 17 | NIEMIEC Przemysław | 62 |
| 18 | HERRADA José | 65 |
| 19 | CLEMENT Stef | 66 |
| 20 | POSSONI Morris | 56 |