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 - 14
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Kocjan
2
72 kgBožič
3
70 kgStrgar
5
62 kgNishitani
8
62 kgEibegger
14
68 kgRiis Andersen
15
67 kgGajek
18
74 kgKoren
22
72 kgMahorič
27
68 kgŠpilak
28
68 kgRiška
50
73 kgKvasina
55
72 kgKux
57
74 kgBárta
61
75 kgRaboň
62
74 kgHristov
64
57 kgBonča
83
63 kgBrajkovič
90
60 kgHansen
96
72 kgKišerlovski
101
72 kgGyurov
110
75 kgHrazdira
115
77 kgBenetseder
117
65 kgKorinek
126
69 kg
2
72 kgBožič
3
70 kgStrgar
5
62 kgNishitani
8
62 kgEibegger
14
68 kgRiis Andersen
15
67 kgGajek
18
74 kgKoren
22
72 kgMahorič
27
68 kgŠpilak
28
68 kgRiška
50
73 kgKvasina
55
72 kgKux
57
74 kgBárta
61
75 kgRaboň
62
74 kgHristov
64
57 kgBonča
83
63 kgBrajkovič
90
60 kgHansen
96
72 kgKišerlovski
101
72 kgGyurov
110
75 kgHrazdira
115
77 kgBenetseder
117
65 kgKorinek
126
69 kg
Weight (KG) →
Result →
77
57
2
126
# | Rider | Weight (KG) |
---|---|---|
2 | KOCJAN Jure | 72 |
3 | BOŽIČ Borut | 70 |
5 | STRGAR Matic | 62 |
8 | NISHITANI Taiji | 62 |
14 | EIBEGGER Markus | 68 |
15 | RIIS ANDERSEN Peter | 67 |
18 | GAJEK Artur | 74 |
22 | KOREN Kristijan | 72 |
27 | MAHORIČ Mitja | 68 |
28 | ŠPILAK Simon | 68 |
50 | RIŠKA Martin | 73 |
55 | KVASINA Matija | 72 |
57 | KUX Christian | 74 |
61 | BÁRTA Jan | 75 |
62 | RABOŇ František | 74 |
64 | HRISTOV Stefan Koychev | 57 |
83 | BONČA Valter | 63 |
90 | BRAJKOVIČ Janez | 60 |
96 | HANSEN Adam | 72 |
101 | KIŠERLOVSKI Robert | 72 |
110 | GYUROV Spas | 75 |
115 | HRAZDIRA Michal | 77 |
117 | BENETSEDER Josef | 65 |
126 | KORINEK Radim | 69 |