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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Valverde
1
61 kgRebellin
2
63 kgSánchez
3
65 kgContador
4
61 kgSchleck
5
65 kgFreire
6
63 kgMartín Perdiguero
7
63 kgSinkewitz
8
63 kgOsa
9
64 kgBoogerd
10
62 kgHorner
11
70 kgBertagnolli
12
63 kgMarzoli
13
61 kgVila
15
67 kgSerrano
16
67 kgAzevedo
17
59 kgMoreni
18
65 kgColom
20
71 kgMori
21
62 kgEvans
22
64 kgPiepoli
23
54 kgGarzelli
24
62 kg
1
61 kgRebellin
2
63 kgSánchez
3
65 kgContador
4
61 kgSchleck
5
65 kgFreire
6
63 kgMartín Perdiguero
7
63 kgSinkewitz
8
63 kgOsa
9
64 kgBoogerd
10
62 kgHorner
11
70 kgBertagnolli
12
63 kgMarzoli
13
61 kgVila
15
67 kgSerrano
16
67 kgAzevedo
17
59 kgMoreni
18
65 kgColom
20
71 kgMori
21
62 kgEvans
22
64 kgPiepoli
23
54 kgGarzelli
24
62 kg
Weight (KG) →
Result →
71
54
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | VALVERDE Alejandro | 61 |
2 | REBELLIN Davide | 63 |
3 | SÁNCHEZ Samuel | 65 |
4 | CONTADOR Alberto | 61 |
5 | SCHLECK Fränk | 65 |
6 | FREIRE Óscar | 63 |
7 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
8 | SINKEWITZ Patrik | 63 |
9 | OSA Aitor | 64 |
10 | BOOGERD Michael | 62 |
11 | HORNER Chris | 70 |
12 | BERTAGNOLLI Leonardo | 63 |
13 | MARZOLI Ruggero | 61 |
15 | VILA Francisco Javier | 67 |
16 | SERRANO Ricardo | 67 |
17 | AZEVEDO José Bento | 59 |
18 | MORENI Cristian | 65 |
20 | COLOM Antonio | 71 |
21 | MORI Manuele | 62 |
22 | EVANS Cadel | 64 |
23 | PIEPOLI Leonardo | 54 |
24 | GARZELLI Stefano | 62 |