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 = 0.3 * weight + 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Božič
1
70 kgEibegger
5
68 kgRiis Andersen
8
67 kgKvasina
14
72 kgHansen
16
72 kgŠpilak
17
68 kgNishitani
20
62 kgKišerlovski
24
72 kgKocjan
25
72 kgKoren
29
72 kgBonča
30
63 kgRiška
33
73 kgKorinek
38
69 kgBrajkovič
43
60 kgRaboň
44
74 kgHristov
50
57 kgMahorič
51
68 kgGajek
56
74 kgHrazdira
62
77 kgBenetseder
66
65 kgStrgar
77
62 kgKux
81
74 kgBárta
82
75 kg
1
70 kgEibegger
5
68 kgRiis Andersen
8
67 kgKvasina
14
72 kgHansen
16
72 kgŠpilak
17
68 kgNishitani
20
62 kgKišerlovski
24
72 kgKocjan
25
72 kgKoren
29
72 kgBonča
30
63 kgRiška
33
73 kgKorinek
38
69 kgBrajkovič
43
60 kgRaboň
44
74 kgHristov
50
57 kgMahorič
51
68 kgGajek
56
74 kgHrazdira
62
77 kgBenetseder
66
65 kgStrgar
77
62 kgKux
81
74 kgBárta
82
75 kg
Weight (KG) →
Result →
77
57
1
82
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOŽIČ Borut | 70 |
| 5 | EIBEGGER Markus | 68 |
| 8 | RIIS ANDERSEN Peter | 67 |
| 14 | KVASINA Matija | 72 |
| 16 | HANSEN Adam | 72 |
| 17 | ŠPILAK Simon | 68 |
| 20 | NISHITANI Taiji | 62 |
| 24 | KIŠERLOVSKI Robert | 72 |
| 25 | KOCJAN Jure | 72 |
| 29 | KOREN Kristijan | 72 |
| 30 | BONČA Valter | 63 |
| 33 | RIŠKA Martin | 73 |
| 38 | KORINEK Radim | 69 |
| 43 | BRAJKOVIČ Janez | 60 |
| 44 | RABOŇ František | 74 |
| 50 | HRISTOV Stefan Koychev | 57 |
| 51 | MAHORIČ Mitja | 68 |
| 56 | GAJEK Artur | 74 |
| 62 | HRAZDIRA Michal | 77 |
| 66 | BENETSEDER Josef | 65 |
| 77 | STRGAR Matic | 62 |
| 81 | KUX Christian | 74 |
| 82 | BÁRTA Jan | 75 |