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 = -0.7 * weight + 87
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Kritskiy
3
81 kgBommel
4
75 kgPawlak
6
73 kgSerebryakov
10
70 kgLampater
17
75 kgRiška
22
73 kgJaniaczyk
25
68 kgKiendyś
26
78 kgLisowicz
31
85 kgBengsch
33
85 kgSapa
43
82 kgBroniš
46
74 kgBodnar
49
68 kgRomanik
56
62 kgChmielewski
58
72 kgBartko
67
78 kgKrupa
76
74 kgKomar
78
73 kg
3
81 kgBommel
4
75 kgPawlak
6
73 kgSerebryakov
10
70 kgLampater
17
75 kgRiška
22
73 kgJaniaczyk
25
68 kgKiendyś
26
78 kgLisowicz
31
85 kgBengsch
33
85 kgSapa
43
82 kgBroniš
46
74 kgBodnar
49
68 kgRomanik
56
62 kgChmielewski
58
72 kgBartko
67
78 kgKrupa
76
74 kgKomar
78
73 kg
Weight (KG) →
Result →
85
62
3
78
# | Rider | Weight (KG) |
---|---|---|
3 | KRITSKIY Timofey | 81 |
4 | BOMMEL Henning | 75 |
6 | PAWLAK Wojciech | 73 |
10 | SEREBRYAKOV Alexander | 70 |
17 | LAMPATER Leif | 75 |
22 | RIŠKA Martin | 73 |
25 | JANIACZYK Błażej | 68 |
26 | KIENDYŚ Tomasz | 78 |
31 | LISOWICZ Tomasz | 85 |
33 | BENGSCH Robert | 85 |
43 | SAPA Marcin | 82 |
46 | BRONIŠ Roman | 74 |
49 | BODNAR Łukasz | 68 |
56 | ROMANIK Radosław | 62 |
58 | CHMIELEWSKI Piotr | 72 |
67 | BARTKO Robert | 78 |
76 | KRUPA Dawid | 74 |
78 | KOMAR Mateusz | 73 |