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 + 48
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sapa
3
82 kgBroniš
4
74 kgGołaś
7
65 kgBatek
9
73 kgGaliński
10
63 kgBrzozka
13
64 kgKohut
17
65 kgJõeäär
19
84 kgRutkiewicz
24
66 kgMorajko
25
65 kgRomanik
26
62 kgKiendyś
27
78 kgBodnar
33
68 kgMatysiak
35
71 kgKonwa
40
62 kgBaranowski
43
68 kgWitecki
47
70 kgJaniaczyk
51
68 kgCieślik
52
65 kgTaciak
53
68 kgKomar
58
73 kgGyurov
66
75 kg
3
82 kgBroniš
4
74 kgGołaś
7
65 kgBatek
9
73 kgGaliński
10
63 kgBrzozka
13
64 kgKohut
17
65 kgJõeäär
19
84 kgRutkiewicz
24
66 kgMorajko
25
65 kgRomanik
26
62 kgKiendyś
27
78 kgBodnar
33
68 kgMatysiak
35
71 kgKonwa
40
62 kgBaranowski
43
68 kgWitecki
47
70 kgJaniaczyk
51
68 kgCieślik
52
65 kgTaciak
53
68 kgKomar
58
73 kgGyurov
66
75 kg
Weight (KG) →
Result →
84
62
3
66
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SAPA Marcin | 82 |
| 4 | BRONIŠ Roman | 74 |
| 7 | GOŁAŚ Michał | 65 |
| 9 | BATEK Dariusz | 73 |
| 10 | GALIŃSKI Marek | 63 |
| 13 | BRZOZKA Piotr | 64 |
| 17 | KOHUT Sławomir | 65 |
| 19 | JÕEÄÄR Gert | 84 |
| 24 | RUTKIEWICZ Marek | 66 |
| 25 | MORAJKO Jacek | 65 |
| 26 | ROMANIK Radosław | 62 |
| 27 | KIENDYŚ Tomasz | 78 |
| 33 | BODNAR Łukasz | 68 |
| 35 | MATYSIAK Bartłomiej | 71 |
| 40 | KONWA Marek | 62 |
| 43 | BARANOWSKI Dariusz | 68 |
| 47 | WITECKI Mariusz | 70 |
| 51 | JANIACZYK Błażej | 68 |
| 52 | CIEŚLIK Paweł | 65 |
| 53 | TACIAK Mateusz | 68 |
| 58 | KOMAR Mateusz | 73 |
| 66 | GYUROV Spas | 75 |