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 = -0.3 * weight + 100
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Chmielewski
12
72 kgWacker
15
65 kgLisowicz
37
85 kgBagdonas
38
78 kgMickiewicz
58
74 kgKiryienka
64
69 kgVelits
65
63 kgWitecki
67
70 kgBodnar
73
68 kgVelits
76
70 kgPawlak
81
73 kgSapa
82
82 kgRaboň
87
74 kgKiendyś
89
78 kgJaniaczyk
93
68 kgSzmyd
101
60 kgMazur
112
73 kgOjavee
114
80 kgAbass
115
65 kgKogut
116
73 kg
12
72 kgWacker
15
65 kgLisowicz
37
85 kgBagdonas
38
78 kgMickiewicz
58
74 kgKiryienka
64
69 kgVelits
65
63 kgWitecki
67
70 kgBodnar
73
68 kgVelits
76
70 kgPawlak
81
73 kgSapa
82
82 kgRaboň
87
74 kgKiendyś
89
78 kgJaniaczyk
93
68 kgSzmyd
101
60 kgMazur
112
73 kgOjavee
114
80 kgAbass
115
65 kgKogut
116
73 kg
Weight (KG) →
Result →
85
60
12
116
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | CHMIELEWSKI Piotr | 72 |
| 15 | WACKER Eugen | 65 |
| 37 | LISOWICZ Tomasz | 85 |
| 38 | BAGDONAS Gediminas | 78 |
| 58 | MICKIEWICZ Jacek | 74 |
| 64 | KIRYIENKA Vasil | 69 |
| 65 | VELITS Peter | 63 |
| 67 | WITECKI Mariusz | 70 |
| 73 | BODNAR Łukasz | 68 |
| 76 | VELITS Martin | 70 |
| 81 | PAWLAK Wojciech | 73 |
| 82 | SAPA Marcin | 82 |
| 87 | RABOŇ František | 74 |
| 89 | KIENDYŚ Tomasz | 78 |
| 93 | JANIACZYK Błażej | 68 |
| 101 | SZMYD Sylwester | 60 |
| 112 | MAZUR Peter | 73 |
| 114 | OJAVEE Mart | 80 |
| 115 | ABASS Mahmoud | 65 |
| 116 | KOGUT Volodymyr | 73 |