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 = 1.2 * weight - 34
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Kocjan
1
72 kgBonča
5
63 kgEibegger
7
68 kgKorinek
8
69 kgRiis Andersen
10
67 kgNishitani
14
62 kgKoren
18
72 kgBenetseder
20
65 kgBožič
29
70 kgKvasina
31
72 kgBárta
34
75 kgRiška
36
73 kgHansen
41
72 kgStrgar
49
62 kgŠpilak
55
68 kgRaboň
56
74 kgHristov
66
57 kgGyurov
67
75 kgHrazdira
76
77 kgMahorič
85
68 kgKišerlovski
87
72 kgBrajkovič
89
60 kgGajek
100
74 kgKux
119
74 kg
1
72 kgBonča
5
63 kgEibegger
7
68 kgKorinek
8
69 kgRiis Andersen
10
67 kgNishitani
14
62 kgKoren
18
72 kgBenetseder
20
65 kgBožič
29
70 kgKvasina
31
72 kgBárta
34
75 kgRiška
36
73 kgHansen
41
72 kgStrgar
49
62 kgŠpilak
55
68 kgRaboň
56
74 kgHristov
66
57 kgGyurov
67
75 kgHrazdira
76
77 kgMahorič
85
68 kgKišerlovski
87
72 kgBrajkovič
89
60 kgGajek
100
74 kgKux
119
74 kg
Weight (KG) →
Result →
77
57
1
119
# | Rider | Weight (KG) |
---|---|---|
1 | KOCJAN Jure | 72 |
5 | BONČA Valter | 63 |
7 | EIBEGGER Markus | 68 |
8 | KORINEK Radim | 69 |
10 | RIIS ANDERSEN Peter | 67 |
14 | NISHITANI Taiji | 62 |
18 | KOREN Kristijan | 72 |
20 | BENETSEDER Josef | 65 |
29 | BOŽIČ Borut | 70 |
31 | KVASINA Matija | 72 |
34 | BÁRTA Jan | 75 |
36 | RIŠKA Martin | 73 |
41 | HANSEN Adam | 72 |
49 | STRGAR Matic | 62 |
55 | ŠPILAK Simon | 68 |
56 | RABOŇ František | 74 |
66 | HRISTOV Stefan Koychev | 57 |
67 | GYUROV Spas | 75 |
76 | HRAZDIRA Michal | 77 |
85 | MAHORIČ Mitja | 68 |
87 | KIŠERLOVSKI Robert | 72 |
89 | BRAJKOVIČ Janez | 60 |
100 | GAJEK Artur | 74 |
119 | KUX Christian | 74 |