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 = 0.2 * weight + 46
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Pawlak
15
73 kgBodnar
16
68 kgWacker
22
65 kgKiryienka
26
69 kgMickiewicz
34
74 kgKiendyś
40
78 kgLisowicz
42
85 kgChmielewski
46
72 kgSzmyd
48
60 kgSapa
49
82 kgJaniaczyk
50
68 kgWitecki
57
70 kgMazur
73
73 kgVelits
75
63 kgBagdonas
81
78 kgVelits
103
70 kgOjavee
109
80 kgKogut
113
73 kgRaboň
118
74 kgAbass
128
65 kg
15
73 kgBodnar
16
68 kgWacker
22
65 kgKiryienka
26
69 kgMickiewicz
34
74 kgKiendyś
40
78 kgLisowicz
42
85 kgChmielewski
46
72 kgSzmyd
48
60 kgSapa
49
82 kgJaniaczyk
50
68 kgWitecki
57
70 kgMazur
73
73 kgVelits
75
63 kgBagdonas
81
78 kgVelits
103
70 kgOjavee
109
80 kgKogut
113
73 kgRaboň
118
74 kgAbass
128
65 kg
Weight (KG) →
Result →
85
60
15
128
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | PAWLAK Wojciech | 73 |
| 16 | BODNAR Łukasz | 68 |
| 22 | WACKER Eugen | 65 |
| 26 | KIRYIENKA Vasil | 69 |
| 34 | MICKIEWICZ Jacek | 74 |
| 40 | KIENDYŚ Tomasz | 78 |
| 42 | LISOWICZ Tomasz | 85 |
| 46 | CHMIELEWSKI Piotr | 72 |
| 48 | SZMYD Sylwester | 60 |
| 49 | SAPA Marcin | 82 |
| 50 | JANIACZYK Błażej | 68 |
| 57 | WITECKI Mariusz | 70 |
| 73 | MAZUR Peter | 73 |
| 75 | VELITS Peter | 63 |
| 81 | BAGDONAS Gediminas | 78 |
| 103 | VELITS Martin | 70 |
| 109 | OJAVEE Mart | 80 |
| 113 | KOGUT Volodymyr | 73 |
| 118 | RABOŇ František | 74 |
| 128 | ABASS Mahmoud | 65 |