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 = 0.1 * weight + 36
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Božič
2
70 kgRaboň
3
74 kgKvasina
8
72 kgKocjan
14
72 kgKorinek
25
69 kgMarin
26
67 kgRiis Andersen
36
67 kgBenetseder
37
65 kgŠpilak
43
68 kgKoren
46
72 kgGazvoda
49
72 kgKišerlovski
55
72 kgHansen
63
72 kgHrazdira
67
77 kgBonča
68
63 kgBárta
74
75 kgEibegger
78
68 kgMahorič
81
68 kgRiška
86
73 kg
2
70 kgRaboň
3
74 kgKvasina
8
72 kgKocjan
14
72 kgKorinek
25
69 kgMarin
26
67 kgRiis Andersen
36
67 kgBenetseder
37
65 kgŠpilak
43
68 kgKoren
46
72 kgGazvoda
49
72 kgKišerlovski
55
72 kgHansen
63
72 kgHrazdira
67
77 kgBonča
68
63 kgBárta
74
75 kgEibegger
78
68 kgMahorič
81
68 kgRiška
86
73 kg
Weight (KG) →
Result →
77
63
2
86
# | Rider | Weight (KG) |
---|---|---|
2 | BOŽIČ Borut | 70 |
3 | RABOŇ František | 74 |
8 | KVASINA Matija | 72 |
14 | KOCJAN Jure | 72 |
25 | KORINEK Radim | 69 |
26 | MARIN Matej | 67 |
36 | RIIS ANDERSEN Peter | 67 |
37 | BENETSEDER Josef | 65 |
43 | ŠPILAK Simon | 68 |
46 | KOREN Kristijan | 72 |
49 | GAZVODA Gregor | 72 |
55 | KIŠERLOVSKI Robert | 72 |
63 | HANSEN Adam | 72 |
67 | HRAZDIRA Michal | 77 |
68 | BONČA Valter | 63 |
74 | BÁRTA Jan | 75 |
78 | EIBEGGER Markus | 68 |
81 | MAHORIČ Mitja | 68 |
86 | RIŠKA Martin | 73 |