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 = 3.1 * weight - 189
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Velits
1
63 kgKozontchuk
2
75 kgVelits
4
70 kgMartin
6
75 kgVastaranta
8
63 kgJurčo
10
69 kgBreschel
11
70 kgHaussler
12
74 kgChristensen
13
69 kgŠtybar
15
68 kgTimmer
16
77 kgBole
21
69 kgLund
24
65 kgKux
35
74 kgMatysiak
51
71 kgBellemakers
70
75 kgMandri
72
66 kgBárta
78
75 kgBodnar
84
77 kgKocjan
88
72 kgHollenstein
97
80 kg
1
63 kgKozontchuk
2
75 kgVelits
4
70 kgMartin
6
75 kgVastaranta
8
63 kgJurčo
10
69 kgBreschel
11
70 kgHaussler
12
74 kgChristensen
13
69 kgŠtybar
15
68 kgTimmer
16
77 kgBole
21
69 kgLund
24
65 kgKux
35
74 kgMatysiak
51
71 kgBellemakers
70
75 kgMandri
72
66 kgBárta
78
75 kgBodnar
84
77 kgKocjan
88
72 kgHollenstein
97
80 kg
Weight (KG) →
Result →
80
63
1
97
# | Rider | Weight (KG) |
---|---|---|
1 | VELITS Peter | 63 |
2 | KOZONTCHUK Dmitry | 75 |
4 | VELITS Martin | 70 |
6 | MARTIN Tony | 75 |
8 | VASTARANTA Jukka | 63 |
10 | JURČO Matej | 69 |
11 | BRESCHEL Matti | 70 |
12 | HAUSSLER Heinrich | 74 |
13 | CHRISTENSEN Mads | 69 |
15 | ŠTYBAR Zdeněk | 68 |
16 | TIMMER Albert | 77 |
21 | BOLE Grega | 69 |
24 | LUND Anders | 65 |
35 | KUX Christian | 74 |
51 | MATYSIAK Bartłomiej | 71 |
70 | BELLEMAKERS Dirk | 75 |
72 | MANDRI René | 66 |
78 | BÁRTA Jan | 75 |
84 | BODNAR Maciej | 77 |
88 | KOCJAN Jure | 72 |
97 | HOLLENSTEIN Reto | 80 |