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 = 0.4 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bommel
2
75 kgSerebryakov
4
70 kgRiška
10
73 kgJaniaczyk
17
68 kgLampater
20
75 kgPawlak
24
73 kgKritskiy
25
81 kgBodnar
27
68 kgChmielewski
29
72 kgLisowicz
30
85 kgBroniš
32
74 kgKrupa
33
74 kgSapa
37
82 kgBengsch
38
85 kgKiendyś
41
78 kgRomanik
43
62 kgBartko
62
78 kgKomar
72
73 kg
2
75 kgSerebryakov
4
70 kgRiška
10
73 kgJaniaczyk
17
68 kgLampater
20
75 kgPawlak
24
73 kgKritskiy
25
81 kgBodnar
27
68 kgChmielewski
29
72 kgLisowicz
30
85 kgBroniš
32
74 kgKrupa
33
74 kgSapa
37
82 kgBengsch
38
85 kgKiendyś
41
78 kgRomanik
43
62 kgBartko
62
78 kgKomar
72
73 kg
Weight (KG) →
Result →
85
62
2
72
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOMMEL Henning | 75 |
| 4 | SEREBRYAKOV Alexander | 70 |
| 10 | RIŠKA Martin | 73 |
| 17 | JANIACZYK Błażej | 68 |
| 20 | LAMPATER Leif | 75 |
| 24 | PAWLAK Wojciech | 73 |
| 25 | KRITSKIY Timofey | 81 |
| 27 | BODNAR Łukasz | 68 |
| 29 | CHMIELEWSKI Piotr | 72 |
| 30 | LISOWICZ Tomasz | 85 |
| 32 | BRONIŠ Roman | 74 |
| 33 | KRUPA Dawid | 74 |
| 37 | SAPA Marcin | 82 |
| 38 | BENGSCH Robert | 85 |
| 41 | KIENDYŚ Tomasz | 78 |
| 43 | ROMANIK Radosław | 62 |
| 62 | BARTKO Robert | 78 |
| 72 | KOMAR Mateusz | 73 |