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 = -1.7 * weight + 145
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Schulze
1
70 kgSelig
2
80 kgSapa
3
82 kgJaniaczyk
4
68 kgKiendyś
10
78 kgKomar
13
73 kgBodnar
15
68 kgWitecki
16
70 kgTybor
18
72 kgBaranowski
19
68 kgTaciak
23
68 kgJaniszewski
24
65 kgLisowicz
29
85 kgPszczolarski
38
73 kgNagy
49
52 kgJurčo
50
69 kgMahďar
71
61 kgRomanik
82
62 kg
1
70 kgSelig
2
80 kgSapa
3
82 kgJaniaczyk
4
68 kgKiendyś
10
78 kgKomar
13
73 kgBodnar
15
68 kgWitecki
16
70 kgTybor
18
72 kgBaranowski
19
68 kgTaciak
23
68 kgJaniszewski
24
65 kgLisowicz
29
85 kgPszczolarski
38
73 kgNagy
49
52 kgJurčo
50
69 kgMahďar
71
61 kgRomanik
82
62 kg
Weight (KG) →
Result →
85
52
1
82
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHULZE André | 70 |
| 2 | SELIG Rüdiger | 80 |
| 3 | SAPA Marcin | 82 |
| 4 | JANIACZYK Błażej | 68 |
| 10 | KIENDYŚ Tomasz | 78 |
| 13 | KOMAR Mateusz | 73 |
| 15 | BODNAR Łukasz | 68 |
| 16 | WITECKI Mariusz | 70 |
| 18 | TYBOR Patrik | 72 |
| 19 | BARANOWSKI Dariusz | 68 |
| 23 | TACIAK Mateusz | 68 |
| 24 | JANISZEWSKI Sylwester | 65 |
| 29 | LISOWICZ Tomasz | 85 |
| 38 | PSZCZOLARSKI Wojciech | 73 |
| 49 | NAGY Robert | 52 |
| 50 | JURČO Matej | 69 |
| 71 | MAHĎAR Martin | 61 |
| 82 | ROMANIK Radosław | 62 |