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 = -2.3 * weight + 226
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Mickiewicz
5
74 kgKrupa
9
74 kgOjavee
27
80 kgMarkov
38
80 kgSivakov
40
72 kgPawlak
42
73 kgPrzydział
51
80 kgSapa
55
82 kgLjungblad
56
70 kgHoffmann
58
65 kgKiendyś
63
78 kgWitecki
65
70 kgGajek
76
74 kgRiška
82
73 kgSchröder
87
64 kgBodnar
91
68 kgvan Groen
97
69 kgMazur
99
73 kgKukk
103
74 kg
5
74 kgKrupa
9
74 kgOjavee
27
80 kgMarkov
38
80 kgSivakov
40
72 kgPawlak
42
73 kgPrzydział
51
80 kgSapa
55
82 kgLjungblad
56
70 kgHoffmann
58
65 kgKiendyś
63
78 kgWitecki
65
70 kgGajek
76
74 kgRiška
82
73 kgSchröder
87
64 kgBodnar
91
68 kgvan Groen
97
69 kgMazur
99
73 kgKukk
103
74 kg
Weight (KG) →
Result →
82
64
5
103
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MICKIEWICZ Jacek | 74 |
| 9 | KRUPA Dawid | 74 |
| 27 | OJAVEE Mart | 80 |
| 38 | MARKOV Alexei | 80 |
| 40 | SIVAKOV Alexei | 72 |
| 42 | PAWLAK Wojciech | 73 |
| 51 | PRZYDZIAŁ Piotr | 80 |
| 55 | SAPA Marcin | 82 |
| 56 | LJUNGBLAD Jonas | 70 |
| 58 | HOFFMANN Erik | 65 |
| 63 | KIENDYŚ Tomasz | 78 |
| 65 | WITECKI Mariusz | 70 |
| 76 | GAJEK Artur | 74 |
| 82 | RIŠKA Martin | 73 |
| 87 | SCHRÖDER Björn | 64 |
| 91 | BODNAR Łukasz | 68 |
| 97 | VAN GROEN Arnoud | 69 |
| 99 | MAZUR Peter | 73 |
| 103 | KUKK Sigvard | 74 |