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 = -2.6 * weight + 260
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
Kiendyś
12
78 kgRaboň
15
74 kgSapa
19
82 kgWacker
21
65 kgLisowicz
24
85 kgKiryienka
31
69 kgVelits
34
63 kgBodnar
38
68 kgKogut
45
73 kgOjavee
47
80 kgBagdonas
73
78 kgChmielewski
75
72 kgPawlak
85
73 kgVelits
89
70 kgMickiewicz
94
74 kgWitecki
97
70 kgJaniaczyk
107
68 kgAbass
131
65 kgMazur
139
73 kgKrupa
140
74 kgSzmyd
141
60 kg
12
78 kgRaboň
15
74 kgSapa
19
82 kgWacker
21
65 kgLisowicz
24
85 kgKiryienka
31
69 kgVelits
34
63 kgBodnar
38
68 kgKogut
45
73 kgOjavee
47
80 kgBagdonas
73
78 kgChmielewski
75
72 kgPawlak
85
73 kgVelits
89
70 kgMickiewicz
94
74 kgWitecki
97
70 kgJaniaczyk
107
68 kgAbass
131
65 kgMazur
139
73 kgKrupa
140
74 kgSzmyd
141
60 kg
Weight (KG) →
Result →
85
60
12
141
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | KIENDYŚ Tomasz | 78 |
| 15 | RABOŇ František | 74 |
| 19 | SAPA Marcin | 82 |
| 21 | WACKER Eugen | 65 |
| 24 | LISOWICZ Tomasz | 85 |
| 31 | KIRYIENKA Vasil | 69 |
| 34 | VELITS Peter | 63 |
| 38 | BODNAR Łukasz | 68 |
| 45 | KOGUT Volodymyr | 73 |
| 47 | OJAVEE Mart | 80 |
| 73 | BAGDONAS Gediminas | 78 |
| 75 | CHMIELEWSKI Piotr | 72 |
| 85 | PAWLAK Wojciech | 73 |
| 89 | VELITS Martin | 70 |
| 94 | MICKIEWICZ Jacek | 74 |
| 97 | WITECKI Mariusz | 70 |
| 107 | JANIACZYK Błażej | 68 |
| 131 | ABASS Mahmoud | 65 |
| 139 | MAZUR Peter | 73 |
| 140 | KRUPA Dawid | 74 |
| 141 | SZMYD Sylwester | 60 |