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 + 9
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ventoso
1
75 kgBelletti
2
72 kgMollema
3
64 kgPérez
4
65 kgContador
5
61 kgTondo
6
68 kgDowning
7
64 kgSwift
9
69 kgAntón
10
64 kgPozzovivo
12
53 kgPorte
14
62 kgPelucchi
15
74 kgRoberts
16
71 kgBos
17
77 kgGarcía
18
68 kgGarate
19
62 kgDowsett
21
75 kgHivert
22
62 kgAberasturi
23
69 kgPérez
24
61 kgCioni
25
72 kg
1
75 kgBelletti
2
72 kgMollema
3
64 kgPérez
4
65 kgContador
5
61 kgTondo
6
68 kgDowning
7
64 kgSwift
9
69 kgAntón
10
64 kgPozzovivo
12
53 kgPorte
14
62 kgPelucchi
15
74 kgRoberts
16
71 kgBos
17
77 kgGarcía
18
68 kgGarate
19
62 kgDowsett
21
75 kgHivert
22
62 kgAberasturi
23
69 kgPérez
24
61 kgCioni
25
72 kg
Weight (KG) →
Result →
77
53
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | VENTOSO Francisco José | 75 |
2 | BELLETTI Manuel | 72 |
3 | MOLLEMA Bauke | 64 |
4 | PÉREZ Rubén | 65 |
5 | CONTADOR Alberto | 61 |
6 | TONDO Xavier | 68 |
7 | DOWNING Russell | 64 |
9 | SWIFT Ben | 69 |
10 | ANTÓN Igor | 64 |
12 | POZZOVIVO Domenico | 53 |
14 | PORTE Richie | 62 |
15 | PELUCCHI Matteo | 74 |
16 | ROBERTS Luke | 71 |
17 | BOS Theo | 77 |
18 | GARCÍA Ricardo | 68 |
19 | GARATE Juan Manuel | 62 |
21 | DOWSETT Alex | 75 |
22 | HIVERT Jonathan | 62 |
23 | ABERASTURI Jon | 69 |
24 | PÉREZ Santiago | 61 |
25 | CIONI Dario David | 72 |