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 = 1 * weight - 23
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Brajkovič
1
60 kgRiška
2
73 kgKocjan
4
72 kgGajek
5
74 kgNishitani
19
62 kgRiis Andersen
23
67 kgHristov
30
57 kgEibegger
31
68 kgBenetseder
32
65 kgŠpilak
34
68 kgKux
36
74 kgKvasina
41
72 kgBárta
43
75 kgKoren
44
72 kgMahorič
50
68 kgKišerlovski
55
72 kgHansen
67
72 kgBonča
72
63 kgKorinek
76
69 kgRaboň
81
74 kgStrgar
82
62 kgHrazdira
94
77 kgBožič
96
70 kg
1
60 kgRiška
2
73 kgKocjan
4
72 kgGajek
5
74 kgNishitani
19
62 kgRiis Andersen
23
67 kgHristov
30
57 kgEibegger
31
68 kgBenetseder
32
65 kgŠpilak
34
68 kgKux
36
74 kgKvasina
41
72 kgBárta
43
75 kgKoren
44
72 kgMahorič
50
68 kgKišerlovski
55
72 kgHansen
67
72 kgBonča
72
63 kgKorinek
76
69 kgRaboň
81
74 kgStrgar
82
62 kgHrazdira
94
77 kgBožič
96
70 kg
Weight (KG) →
Result →
77
57
1
96
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAJKOVIČ Janez | 60 |
| 2 | RIŠKA Martin | 73 |
| 4 | KOCJAN Jure | 72 |
| 5 | GAJEK Artur | 74 |
| 19 | NISHITANI Taiji | 62 |
| 23 | RIIS ANDERSEN Peter | 67 |
| 30 | HRISTOV Stefan Koychev | 57 |
| 31 | EIBEGGER Markus | 68 |
| 32 | BENETSEDER Josef | 65 |
| 34 | ŠPILAK Simon | 68 |
| 36 | KUX Christian | 74 |
| 41 | KVASINA Matija | 72 |
| 43 | BÁRTA Jan | 75 |
| 44 | KOREN Kristijan | 72 |
| 50 | MAHORIČ Mitja | 68 |
| 55 | KIŠERLOVSKI Robert | 72 |
| 67 | HANSEN Adam | 72 |
| 72 | BONČA Valter | 63 |
| 76 | KORINEK Radim | 69 |
| 81 | RABOŇ František | 74 |
| 82 | STRGAR Matic | 62 |
| 94 | HRAZDIRA Michal | 77 |
| 96 | BOŽIČ Borut | 70 |