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 + 4
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 kgTivani
4
67 kgSchumacher
5
71 kgViel
6
72 kgJules
7
64 kgMonsalve
9
62 kgFinetto
11
62 kgTybor
15
72 kgAït El Abdia
16
66 kgMalaguti
19
67 kgManninen
20
70 kgGraf
21
72 kgZanon
22
63 kgBenetseder
24
65 kgLahsaini
26
77 kgGodoy
30
64 kgHrinkow
31
61 kgNouisri
32
74 kgUbeto
35
60 kgTanfield
36
80 kg
1
68 kgBalkan
2
69 kgTivani
4
67 kgSchumacher
5
71 kgViel
6
72 kgJules
7
64 kgMonsalve
9
62 kgFinetto
11
62 kgTybor
15
72 kgAït El Abdia
16
66 kgMalaguti
19
67 kgManninen
20
70 kgGraf
21
72 kgZanon
22
63 kgBenetseder
24
65 kgLahsaini
26
77 kgGodoy
30
64 kgHrinkow
31
61 kgNouisri
32
74 kgUbeto
35
60 kgTanfield
36
80 kg
Weight (KG) →
Result →
80
60
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 2 | BALKAN Onur | 69 |
| 4 | TIVANI German Nicolás | 67 |
| 5 | SCHUMACHER Stefan | 71 |
| 6 | VIEL Mattia | 72 |
| 7 | JULES Justin | 64 |
| 9 | MONSALVE Yonathan | 62 |
| 11 | FINETTO Mauro | 62 |
| 15 | TYBOR Patrik | 72 |
| 16 | AÏT EL ABDIA Anass | 66 |
| 19 | MALAGUTI Alessandro | 67 |
| 20 | MANNINEN Matti | 70 |
| 21 | GRAF Andreas | 72 |
| 22 | ZANON Elia | 63 |
| 24 | BENETSEDER Josef | 65 |
| 26 | LAHSAINI Mouhssine | 77 |
| 30 | GODOY Yonder | 64 |
| 31 | HRINKOW Dominik | 61 |
| 32 | NOUISRI Ali | 74 |
| 35 | UBETO Miguel Armando | 60 |
| 36 | TANFIELD Charlie | 80 |