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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Malucelli
1
68 kgBalkan
2
69 kgSchumacher
4
71 kgViel
5
72 kgJules
6
64 kgMonsalve
7
62 kgFinetto
10
62 kgTivani
11
67 kgTybor
15
72 kgMalaguti
18
67 kgManninen
19
70 kgZanon
20
63 kgBenetseder
22
65 kgAït El Abdia
23
66 kgLahsaini
24
77 kgGodoy
27
64 kgHrinkow
28
61 kgNouisri
29
74 kgUbeto
31
60 kgTanfield
33
80 kg
1
68 kgBalkan
2
69 kgSchumacher
4
71 kgViel
5
72 kgJules
6
64 kgMonsalve
7
62 kgFinetto
10
62 kgTivani
11
67 kgTybor
15
72 kgMalaguti
18
67 kgManninen
19
70 kgZanon
20
63 kgBenetseder
22
65 kgAït El Abdia
23
66 kgLahsaini
24
77 kgGodoy
27
64 kgHrinkow
28
61 kgNouisri
29
74 kgUbeto
31
60 kgTanfield
33
80 kg
Weight (KG) →
Result →
80
60
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 2 | BALKAN Onur | 69 |
| 4 | SCHUMACHER Stefan | 71 |
| 5 | VIEL Mattia | 72 |
| 6 | JULES Justin | 64 |
| 7 | MONSALVE Yonathan | 62 |
| 10 | FINETTO Mauro | 62 |
| 11 | TIVANI German Nicolás | 67 |
| 15 | TYBOR Patrik | 72 |
| 18 | MALAGUTI Alessandro | 67 |
| 19 | MANNINEN Matti | 70 |
| 20 | ZANON Elia | 63 |
| 22 | BENETSEDER Josef | 65 |
| 23 | AÏT EL ABDIA Anass | 66 |
| 24 | LAHSAINI Mouhssine | 77 |
| 27 | GODOY Yonder | 64 |
| 28 | HRINKOW Dominik | 61 |
| 29 | NOUISRI Ali | 74 |
| 31 | UBETO Miguel Armando | 60 |
| 33 | TANFIELD Charlie | 80 |