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 = 1.9 * weight - 96
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Wagner
10
75 kgRaboň
14
74 kgMironov
17
68 kgZamana
18
74 kgMazur
21
73 kgWadecki
24
70 kgPiątek
25
71 kgPrzydział
30
80 kgRomanik
32
62 kgFirsanov
33
58 kgPawlak
38
73 kgHuzarski
42
69 kgChmielewski
43
72 kgBodnar
44
68 kgKiendyś
49
78 kgWitecki
51
70 kgRiška
56
73 kgSapa
70
82 kgLisowicz
72
85 kgMartin
77
75 kgKrupa
78
74 kgBengsch
96
85 kgVoskamp
102
75 kg
10
75 kgRaboň
14
74 kgMironov
17
68 kgZamana
18
74 kgMazur
21
73 kgWadecki
24
70 kgPiątek
25
71 kgPrzydział
30
80 kgRomanik
32
62 kgFirsanov
33
58 kgPawlak
38
73 kgHuzarski
42
69 kgChmielewski
43
72 kgBodnar
44
68 kgKiendyś
49
78 kgWitecki
51
70 kgRiška
56
73 kgSapa
70
82 kgLisowicz
72
85 kgMartin
77
75 kgKrupa
78
74 kgBengsch
96
85 kgVoskamp
102
75 kg
Weight (KG) →
Result →
85
58
10
102
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | WAGNER Robert | 75 |
| 14 | RABOŇ František | 74 |
| 17 | MIRONOV Alexander | 68 |
| 18 | ZAMANA Cezary | 74 |
| 21 | MAZUR Peter | 73 |
| 24 | WADECKI Piotr | 70 |
| 25 | PIĄTEK Zbigniew | 71 |
| 30 | PRZYDZIAŁ Piotr | 80 |
| 32 | ROMANIK Radosław | 62 |
| 33 | FIRSANOV Sergey | 58 |
| 38 | PAWLAK Wojciech | 73 |
| 42 | HUZARSKI Bartosz | 69 |
| 43 | CHMIELEWSKI Piotr | 72 |
| 44 | BODNAR Łukasz | 68 |
| 49 | KIENDYŚ Tomasz | 78 |
| 51 | WITECKI Mariusz | 70 |
| 56 | RIŠKA Martin | 73 |
| 70 | SAPA Marcin | 82 |
| 72 | LISOWICZ Tomasz | 85 |
| 77 | MARTIN Tony | 75 |
| 78 | KRUPA Dawid | 74 |
| 96 | BENGSCH Robert | 85 |
| 102 | VOSKAMP Bart | 75 |