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 = 0.6 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Piątek
1
71 kgRomanik
2
62 kgPrzydział
3
80 kgZamana
4
74 kgSaramotins
8
75 kgTaciak
11
68 kgHegreberg
14
72 kgKrupa
18
74 kgKarczyński
20
66 kgSapa
24
82 kgRiška
25
73 kgBrożyna
26
65 kgHuzarski
28
69 kgWitecki
32
70 kgChmielewski
35
72 kgPawlak
38
73 kgBonča
39
63 kgRaboň
41
74 kgLisowicz
43
85 kgWadecki
55
70 kgKiendyś
59
78 kgKukk
70
74 kg
1
71 kgRomanik
2
62 kgPrzydział
3
80 kgZamana
4
74 kgSaramotins
8
75 kgTaciak
11
68 kgHegreberg
14
72 kgKrupa
18
74 kgKarczyński
20
66 kgSapa
24
82 kgRiška
25
73 kgBrożyna
26
65 kgHuzarski
28
69 kgWitecki
32
70 kgChmielewski
35
72 kgPawlak
38
73 kgBonča
39
63 kgRaboň
41
74 kgLisowicz
43
85 kgWadecki
55
70 kgKiendyś
59
78 kgKukk
70
74 kg
Weight (KG) →
Result →
85
62
1
70
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIĄTEK Zbigniew | 71 |
| 2 | ROMANIK Radosław | 62 |
| 3 | PRZYDZIAŁ Piotr | 80 |
| 4 | ZAMANA Cezary | 74 |
| 8 | SARAMOTINS Aleksejs | 75 |
| 11 | TACIAK Mateusz | 68 |
| 14 | HEGREBERG Morten | 72 |
| 18 | KRUPA Dawid | 74 |
| 20 | KARCZYŃSKI Marcin | 66 |
| 24 | SAPA Marcin | 82 |
| 25 | RIŠKA Martin | 73 |
| 26 | BROŻYNA Tomasz | 65 |
| 28 | HUZARSKI Bartosz | 69 |
| 32 | WITECKI Mariusz | 70 |
| 35 | CHMIELEWSKI Piotr | 72 |
| 38 | PAWLAK Wojciech | 73 |
| 39 | BONČA Valter | 63 |
| 41 | RABOŇ František | 74 |
| 43 | LISOWICZ Tomasz | 85 |
| 55 | WADECKI Piotr | 70 |
| 59 | KIENDYŚ Tomasz | 78 |
| 70 | KUKK Sigvard | 74 |