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 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Galimzyanov
1
75 kgMatysiak
2
71 kgCommeyne
5
70 kgKrupa
7
74 kgBerden
9
69 kgJaniszewski
17
65 kgKritskiy
19
81 kgLagkuti
24
68 kgTybor
26
72 kgBroniš
27
74 kgRutkiewicz
29
66 kgJaniaczyk
41
68 kgKiendyś
42
78 kgWitecki
43
70 kgBodnar
46
68 kgSapa
47
82 kgRomanik
48
62 kgKomar
49
73 kgCharucki
53
64 kgChmielewski
56
72 kgHuzarski
62
69 kgPorsev
63
80 kg
1
75 kgMatysiak
2
71 kgCommeyne
5
70 kgKrupa
7
74 kgBerden
9
69 kgJaniszewski
17
65 kgKritskiy
19
81 kgLagkuti
24
68 kgTybor
26
72 kgBroniš
27
74 kgRutkiewicz
29
66 kgJaniaczyk
41
68 kgKiendyś
42
78 kgWitecki
43
70 kgBodnar
46
68 kgSapa
47
82 kgRomanik
48
62 kgKomar
49
73 kgCharucki
53
64 kgChmielewski
56
72 kgHuzarski
62
69 kgPorsev
63
80 kg
Weight (KG) →
Result →
82
62
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALIMZYANOV Denis | 75 |
| 2 | MATYSIAK Bartłomiej | 71 |
| 5 | COMMEYNE Davy | 70 |
| 7 | KRUPA Dawid | 74 |
| 9 | BERDEN Ben | 69 |
| 17 | JANISZEWSKI Sylwester | 65 |
| 19 | KRITSKIY Timofey | 81 |
| 24 | LAGKUTI Sergiy | 68 |
| 26 | TYBOR Patrik | 72 |
| 27 | BRONIŠ Roman | 74 |
| 29 | RUTKIEWICZ Marek | 66 |
| 41 | JANIACZYK Błażej | 68 |
| 42 | KIENDYŚ Tomasz | 78 |
| 43 | WITECKI Mariusz | 70 |
| 46 | BODNAR Łukasz | 68 |
| 47 | SAPA Marcin | 82 |
| 48 | ROMANIK Radosław | 62 |
| 49 | KOMAR Mateusz | 73 |
| 53 | CHARUCKI Paweł | 64 |
| 56 | CHMIELEWSKI Piotr | 72 |
| 62 | HUZARSKI Bartosz | 69 |
| 63 | PORSEV Alexander | 80 |