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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Barbero
1
66 kgValverde
2
61 kgBetancur
3
60 kgBilbao
4
60 kgAnacona
5
65 kgRojas
6
70 kgBrandão
7
64 kgReis
8
72 kgNocentini
10
60 kgTrueba
11
65 kgSilva
12
65 kgGerdemann
13
71 kgMilán
14
67 kgArroyo
15
63 kgEzquerra
16
68 kgRosón
17
62 kgMestre
18
65 kgFonte
19
60 kgBravo
20
61 kgMas
21
69 kgFigueiredo
22
56 kg
1
66 kgValverde
2
61 kgBetancur
3
60 kgBilbao
4
60 kgAnacona
5
65 kgRojas
6
70 kgBrandão
7
64 kgReis
8
72 kgNocentini
10
60 kgTrueba
11
65 kgSilva
12
65 kgGerdemann
13
71 kgMilán
14
67 kgArroyo
15
63 kgEzquerra
16
68 kgRosón
17
62 kgMestre
18
65 kgFonte
19
60 kgBravo
20
61 kgMas
21
69 kgFigueiredo
22
56 kg
Weight (KG) →
Result →
72
56
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBERO Carlos | 66 |
| 2 | VALVERDE Alejandro | 61 |
| 3 | BETANCUR Carlos | 60 |
| 4 | BILBAO Pello | 60 |
| 5 | ANACONA Winner | 65 |
| 6 | ROJAS José Joaquín | 70 |
| 7 | BRANDÃO Joni | 64 |
| 8 | REIS Rafael | 72 |
| 10 | NOCENTINI Rinaldo | 60 |
| 11 | TRUEBA Alvaro | 65 |
| 12 | SILVA Rafael | 65 |
| 13 | GERDEMANN Linus | 71 |
| 14 | MILÁN Diego | 67 |
| 15 | ARROYO David | 63 |
| 16 | EZQUERRA Jesús | 68 |
| 17 | ROSÓN Jaime | 62 |
| 18 | MESTRE Daniel | 65 |
| 19 | FONTE César | 60 |
| 20 | BRAVO Garikoitz | 61 |
| 21 | MAS Lluís | 69 |
| 22 | FIGUEIREDO Frederico | 56 |