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 = -0.1 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bommel
6
75 kgJaniaczyk
9
68 kgRiška
12
73 kgPawlak
14
73 kgLampater
21
75 kgLisowicz
23
85 kgBodnar
25
68 kgBengsch
28
85 kgKiendyś
29
78 kgKrupa
33
74 kgBroniš
35
74 kgKritskiy
36
81 kgSapa
37
82 kgRomanik
42
62 kgSerebryakov
54
70 kgChmielewski
60
72 kgBartko
77
78 kgKomar
84
73 kg
6
75 kgJaniaczyk
9
68 kgRiška
12
73 kgPawlak
14
73 kgLampater
21
75 kgLisowicz
23
85 kgBodnar
25
68 kgBengsch
28
85 kgKiendyś
29
78 kgKrupa
33
74 kgBroniš
35
74 kgKritskiy
36
81 kgSapa
37
82 kgRomanik
42
62 kgSerebryakov
54
70 kgChmielewski
60
72 kgBartko
77
78 kgKomar
84
73 kg
Weight (KG) →
Result →
85
62
6
84
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BOMMEL Henning | 75 |
| 9 | JANIACZYK Błażej | 68 |
| 12 | RIŠKA Martin | 73 |
| 14 | PAWLAK Wojciech | 73 |
| 21 | LAMPATER Leif | 75 |
| 23 | LISOWICZ Tomasz | 85 |
| 25 | BODNAR Łukasz | 68 |
| 28 | BENGSCH Robert | 85 |
| 29 | KIENDYŚ Tomasz | 78 |
| 33 | KRUPA Dawid | 74 |
| 35 | BRONIŠ Roman | 74 |
| 36 | KRITSKIY Timofey | 81 |
| 37 | SAPA Marcin | 82 |
| 42 | ROMANIK Radosław | 62 |
| 54 | SEREBRYAKOV Alexander | 70 |
| 60 | CHMIELEWSKI Piotr | 72 |
| 77 | BARTKO Robert | 78 |
| 84 | KOMAR Mateusz | 73 |