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 = 2.4 * weight - 116
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Vastaranta
1
63 kgŠtybar
2
68 kgChristensen
3
69 kgBreschel
11
70 kgJurčo
13
69 kgMartin
18
75 kgHaussler
23
74 kgVelits
35
63 kgBellemakers
36
75 kgBole
47
69 kgVelits
53
70 kgTimmer
56
77 kgSørensen
63
64 kgKozontchuk
69
75 kgLund
73
65 kgKux
81
74 kgBárta
87
75 kgMatysiak
94
71 kgHollenstein
98
80 kgBodnar
101
77 kgMandri
118
66 kgKocjan
119
72 kg
1
63 kgŠtybar
2
68 kgChristensen
3
69 kgBreschel
11
70 kgJurčo
13
69 kgMartin
18
75 kgHaussler
23
74 kgVelits
35
63 kgBellemakers
36
75 kgBole
47
69 kgVelits
53
70 kgTimmer
56
77 kgSørensen
63
64 kgKozontchuk
69
75 kgLund
73
65 kgKux
81
74 kgBárta
87
75 kgMatysiak
94
71 kgHollenstein
98
80 kgBodnar
101
77 kgMandri
118
66 kgKocjan
119
72 kg
Weight (KG) →
Result →
80
63
1
119
# | Rider | Weight (KG) |
---|---|---|
1 | VASTARANTA Jukka | 63 |
2 | ŠTYBAR Zdeněk | 68 |
3 | CHRISTENSEN Mads | 69 |
11 | BRESCHEL Matti | 70 |
13 | JURČO Matej | 69 |
18 | MARTIN Tony | 75 |
23 | HAUSSLER Heinrich | 74 |
35 | VELITS Peter | 63 |
36 | BELLEMAKERS Dirk | 75 |
47 | BOLE Grega | 69 |
53 | VELITS Martin | 70 |
56 | TIMMER Albert | 77 |
63 | SØRENSEN Chris Anker | 64 |
69 | KOZONTCHUK Dmitry | 75 |
73 | LUND Anders | 65 |
81 | KUX Christian | 74 |
87 | BÁRTA Jan | 75 |
94 | MATYSIAK Bartłomiej | 71 |
98 | HOLLENSTEIN Reto | 80 |
101 | BODNAR Maciej | 77 |
118 | MANDRI René | 66 |
119 | KOCJAN Jure | 72 |