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 + 55
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Haddi
1
63 kgPalini
2
67 kgMancebo
3
64 kgChtioui
4
82 kgTipper
6
78 kgLahsaini
7
77 kgWacker
10
65 kgCheung
11
59 kgJelloul
13
58 kgMansouri
14
66 kgMirza
20
60 kgJovanović
25
60 kgLagab
26
63 kgBreyne
30
83 kgGutierrez
34
63 kgMat Amin
35
54 kgZahiri
50
57 kgMurad
63
82 kgSaleh
66
70 kgSaleh
70
58 kgMazuki
71
57 kg
1
63 kgPalini
2
67 kgMancebo
3
64 kgChtioui
4
82 kgTipper
6
78 kgLahsaini
7
77 kgWacker
10
65 kgCheung
11
59 kgJelloul
13
58 kgMansouri
14
66 kgMirza
20
60 kgJovanović
25
60 kgLagab
26
63 kgBreyne
30
83 kgGutierrez
34
63 kgMat Amin
35
54 kgZahiri
50
57 kgMurad
63
82 kgSaleh
66
70 kgSaleh
70
58 kgMazuki
71
57 kg
Weight (KG) →
Result →
83
54
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HADDI Soufiane | 63 |
| 2 | PALINI Andrea | 67 |
| 3 | MANCEBO Francisco | 64 |
| 4 | CHTIOUI Rafaâ | 82 |
| 6 | TIPPER Jacob | 78 |
| 7 | LAHSAINI Mouhssine | 77 |
| 10 | WACKER Eugen | 65 |
| 11 | CHEUNG King Lok | 59 |
| 13 | JELLOUL Adil | 58 |
| 14 | MANSOURI Abderrahmane | 66 |
| 20 | MIRZA Yousif | 60 |
| 25 | JOVANOVIĆ Nebojša | 60 |
| 26 | LAGAB Azzedine | 63 |
| 30 | BREYNE Jonathan | 83 |
| 34 | GUTIERREZ José Manuel | 63 |
| 35 | MAT AMIN Mohd Shahrul | 54 |
| 50 | ZAHIRI Abderrahim | 57 |
| 63 | MURAD Tariq | 82 |
| 66 | SALEH Mohd Harrif | 70 |
| 70 | SALEH Mohd Zamri | 58 |
| 71 | MAZUKI Nur Amirul Fakhruddin | 57 |