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 = -0.8 * weight + 102
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Serebryakov
7
70 kgGalimzyanov
9
75 kgLampater
10
75 kgRiška
20
73 kgPawlak
25
73 kgKritskiy
30
81 kgLisowicz
34
85 kgBengsch
39
85 kgBroniš
41
74 kgSapa
45
82 kgKiendyś
49
78 kgBodnar
50
68 kgChmielewski
52
72 kgJaniaczyk
59
68 kgKrupa
65
74 kgBartko
66
78 kgRomanik
71
62 kgKomar
76
73 kgBommel
86
75 kg
7
70 kgGalimzyanov
9
75 kgLampater
10
75 kgRiška
20
73 kgPawlak
25
73 kgKritskiy
30
81 kgLisowicz
34
85 kgBengsch
39
85 kgBroniš
41
74 kgSapa
45
82 kgKiendyś
49
78 kgBodnar
50
68 kgChmielewski
52
72 kgJaniaczyk
59
68 kgKrupa
65
74 kgBartko
66
78 kgRomanik
71
62 kgKomar
76
73 kgBommel
86
75 kg
Weight (KG) →
Result →
85
62
7
86
# | Rider | Weight (KG) |
---|---|---|
7 | SEREBRYAKOV Alexander | 70 |
9 | GALIMZYANOV Denis | 75 |
10 | LAMPATER Leif | 75 |
20 | RIŠKA Martin | 73 |
25 | PAWLAK Wojciech | 73 |
30 | KRITSKIY Timofey | 81 |
34 | LISOWICZ Tomasz | 85 |
39 | BENGSCH Robert | 85 |
41 | BRONIŠ Roman | 74 |
45 | SAPA Marcin | 82 |
49 | KIENDYŚ Tomasz | 78 |
50 | BODNAR Łukasz | 68 |
52 | CHMIELEWSKI Piotr | 72 |
59 | JANIACZYK Błażej | 68 |
65 | KRUPA Dawid | 74 |
66 | BARTKO Robert | 78 |
71 | ROMANIK Radosław | 62 |
76 | KOMAR Mateusz | 73 |
86 | BOMMEL Henning | 75 |