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 = 0.5 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Božič
2
70 kgEibegger
5
68 kgRiis Andersen
8
67 kgKvasina
14
72 kgHansen
15
72 kgŠpilak
16
68 kgNishitani
19
62 kgKišerlovski
23
72 kgKocjan
24
72 kgKoren
28
72 kgBonča
29
63 kgRiška
36
73 kgKorinek
38
69 kgRaboň
47
74 kgHristov
53
57 kgMahorič
54
68 kgBrajkovič
58
60 kgHrazdira
61
77 kgGajek
62
74 kgBenetseder
70
65 kgGyurov
78
75 kgStrgar
84
62 kgKux
89
74 kgBárta
90
75 kg
2
70 kgEibegger
5
68 kgRiis Andersen
8
67 kgKvasina
14
72 kgHansen
15
72 kgŠpilak
16
68 kgNishitani
19
62 kgKišerlovski
23
72 kgKocjan
24
72 kgKoren
28
72 kgBonča
29
63 kgRiška
36
73 kgKorinek
38
69 kgRaboň
47
74 kgHristov
53
57 kgMahorič
54
68 kgBrajkovič
58
60 kgHrazdira
61
77 kgGajek
62
74 kgBenetseder
70
65 kgGyurov
78
75 kgStrgar
84
62 kgKux
89
74 kgBárta
90
75 kg
Weight (KG) →
Result →
77
57
2
90
# | Rider | Weight (KG) |
---|---|---|
2 | BOŽIČ Borut | 70 |
5 | EIBEGGER Markus | 68 |
8 | RIIS ANDERSEN Peter | 67 |
14 | KVASINA Matija | 72 |
15 | HANSEN Adam | 72 |
16 | ŠPILAK Simon | 68 |
19 | NISHITANI Taiji | 62 |
23 | KIŠERLOVSKI Robert | 72 |
24 | KOCJAN Jure | 72 |
28 | KOREN Kristijan | 72 |
29 | BONČA Valter | 63 |
36 | RIŠKA Martin | 73 |
38 | KORINEK Radim | 69 |
47 | RABOŇ František | 74 |
53 | HRISTOV Stefan Koychev | 57 |
54 | MAHORIČ Mitja | 68 |
58 | BRAJKOVIČ Janez | 60 |
61 | HRAZDIRA Michal | 77 |
62 | GAJEK Artur | 74 |
70 | BENETSEDER Josef | 65 |
78 | GYUROV Spas | 75 |
84 | STRGAR Matic | 62 |
89 | KUX Christian | 74 |
90 | BÁRTA Jan | 75 |