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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Schönberger
1
64 kgRopero
2
61 kgVingegaard
3
58 kgIzagirre
4
60 kgEtxeberria
5
65 kgGuerreiro
6
65 kgPedrero
7
60 kgHerrada
8
70 kgHernaiz
9
68 kgLangellotti
10
64 kgDennis
11
72 kgMoscon
12
71 kgAngulo
13
67 kgFortunato
14
57 kgFernández
16
60 kgValter
17
65 kgGeschke
18
64 kgSilva
19
66 kgde la Cruz
20
66 kgSánchez
21
62 kgCepeda
22
61 kg
1
64 kgRopero
2
61 kgVingegaard
3
58 kgIzagirre
4
60 kgEtxeberria
5
65 kgGuerreiro
6
65 kgPedrero
7
60 kgHerrada
8
70 kgHernaiz
9
68 kgLangellotti
10
64 kgDennis
11
72 kgMoscon
12
71 kgAngulo
13
67 kgFortunato
14
57 kgFernández
16
60 kgValter
17
65 kgGeschke
18
64 kgSilva
19
66 kgde la Cruz
20
66 kgSánchez
21
62 kgCepeda
22
61 kg
Weight (KG) →
Result →
72
57
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHÖNBERGER Sebastian | 64 |
| 2 | ROPERO Alejandro | 61 |
| 3 | VINGEGAARD Jonas | 58 |
| 4 | IZAGIRRE Ion | 60 |
| 5 | ETXEBERRIA Josu | 65 |
| 6 | GUERREIRO Ruben | 65 |
| 7 | PEDRERO Antonio | 60 |
| 8 | HERRADA Jesús | 70 |
| 9 | HERNAIZ Vicente | 68 |
| 10 | LANGELLOTTI Victor | 64 |
| 11 | DENNIS Rohan | 72 |
| 12 | MOSCON Gianni | 71 |
| 13 | ANGULO Antonio | 67 |
| 14 | FORTUNATO Lorenzo | 57 |
| 16 | FERNÁNDEZ Rubén | 60 |
| 17 | VALTER Attila | 65 |
| 18 | GESCHKE Simon | 64 |
| 19 | SILVA Joaquim | 66 |
| 20 | DE LA CRUZ David | 66 |
| 21 | SÁNCHEZ Pelayo | 62 |
| 22 | CEPEDA Jefferson Alveiro | 61 |