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 - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Davis
1
73 kgSapa
2
82 kgMarinangeli
5
65 kgBaldato
7
60 kgSabido
8
70 kgEdo
9
64 kgPellizotti
10
64 kgLjungblad
12
70 kgPawlak
14
73 kgNaudužs
15
78 kgRadochla
18
70 kgKoerts
19
78 kgMazur
22
73 kgReynés
23
69 kgDion
24
65 kgNoè
25
65 kgMorajko
26
65 kgLisowicz
33
85 kgGutiérrez
38
71 kgKiendyś
41
78 kg
1
73 kgSapa
2
82 kgMarinangeli
5
65 kgBaldato
7
60 kgSabido
8
70 kgEdo
9
64 kgPellizotti
10
64 kgLjungblad
12
70 kgPawlak
14
73 kgNaudužs
15
78 kgRadochla
18
70 kgKoerts
19
78 kgMazur
22
73 kgReynés
23
69 kgDion
24
65 kgNoè
25
65 kgMorajko
26
65 kgLisowicz
33
85 kgGutiérrez
38
71 kgKiendyś
41
78 kg
Weight (KG) →
Result →
85
60
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAVIS Allan | 73 |
| 2 | SAPA Marcin | 82 |
| 5 | MARINANGELI Sergio | 65 |
| 7 | BALDATO Fabio | 60 |
| 8 | SABIDO Hugo | 70 |
| 9 | EDO Ángel | 64 |
| 10 | PELLIZOTTI Franco | 64 |
| 12 | LJUNGBLAD Jonas | 70 |
| 14 | PAWLAK Wojciech | 73 |
| 15 | NAUDUŽS Andris | 78 |
| 18 | RADOCHLA Steffen | 70 |
| 19 | KOERTS Jans | 78 |
| 22 | MAZUR Peter | 73 |
| 23 | REYNÉS Vicente | 69 |
| 24 | DION Renaud | 65 |
| 25 | NOÈ Andrea | 65 |
| 26 | MORAJKO Jacek | 65 |
| 33 | LISOWICZ Tomasz | 85 |
| 38 | GUTIÉRREZ José Iván | 71 |
| 41 | KIENDYŚ Tomasz | 78 |