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 = 1.7 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Kocjan
1
72 kgBožič
5
70 kgEibegger
8
68 kgNishitani
10
62 kgRiis Andersen
12
67 kgKoren
16
72 kgBonča
18
63 kgKvasina
24
72 kgBenetseder
31
65 kgStrgar
32
62 kgRiška
34
73 kgKorinek
36
69 kgBárta
44
75 kgHansen
48
72 kgŠpilak
52
68 kgRaboň
55
74 kgHristov
66
57 kgMahorič
70
68 kgBrajkovič
82
60 kgKišerlovski
86
72 kgHrazdira
90
77 kgGajek
94
74 kgGyurov
100
75 kgKux
118
74 kg
1
72 kgBožič
5
70 kgEibegger
8
68 kgNishitani
10
62 kgRiis Andersen
12
67 kgKoren
16
72 kgBonča
18
63 kgKvasina
24
72 kgBenetseder
31
65 kgStrgar
32
62 kgRiška
34
73 kgKorinek
36
69 kgBárta
44
75 kgHansen
48
72 kgŠpilak
52
68 kgRaboň
55
74 kgHristov
66
57 kgMahorič
70
68 kgBrajkovič
82
60 kgKišerlovski
86
72 kgHrazdira
90
77 kgGajek
94
74 kgGyurov
100
75 kgKux
118
74 kg
Weight (KG) →
Result →
77
57
1
118
# | Rider | Weight (KG) |
---|---|---|
1 | KOCJAN Jure | 72 |
5 | BOŽIČ Borut | 70 |
8 | EIBEGGER Markus | 68 |
10 | NISHITANI Taiji | 62 |
12 | RIIS ANDERSEN Peter | 67 |
16 | KOREN Kristijan | 72 |
18 | BONČA Valter | 63 |
24 | KVASINA Matija | 72 |
31 | BENETSEDER Josef | 65 |
32 | STRGAR Matic | 62 |
34 | RIŠKA Martin | 73 |
36 | KORINEK Radim | 69 |
44 | BÁRTA Jan | 75 |
48 | HANSEN Adam | 72 |
52 | ŠPILAK Simon | 68 |
55 | RABOŇ František | 74 |
66 | HRISTOV Stefan Koychev | 57 |
70 | MAHORIČ Mitja | 68 |
82 | BRAJKOVIČ Janez | 60 |
86 | KIŠERLOVSKI Robert | 72 |
90 | HRAZDIRA Michal | 77 |
94 | GAJEK Artur | 74 |
100 | GYUROV Spas | 75 |
118 | KUX Christian | 74 |