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 = -1.4 * weight + 128
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Przydział
1
80 kgPawlak
3
73 kgSapa
8
82 kgLisowicz
9
85 kgMazur
10
73 kgZamana
13
74 kgRaboň
14
74 kgTaciak
15
68 kgPiątek
16
71 kgRogina
18
70 kgMarin
23
67 kgGołaś
24
65 kgMarczyński
28
70 kgHoffmann
30
65 kgKiendyś
40
78 kgHuzarski
45
69 kgMatysiak
47
71 kgDuijn
61
73 kgKarczyński
66
66 kg
1
80 kgPawlak
3
73 kgSapa
8
82 kgLisowicz
9
85 kgMazur
10
73 kgZamana
13
74 kgRaboň
14
74 kgTaciak
15
68 kgPiątek
16
71 kgRogina
18
70 kgMarin
23
67 kgGołaś
24
65 kgMarczyński
28
70 kgHoffmann
30
65 kgKiendyś
40
78 kgHuzarski
45
69 kgMatysiak
47
71 kgDuijn
61
73 kgKarczyński
66
66 kg
Weight (KG) →
Result →
85
65
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRZYDZIAŁ Piotr | 80 |
| 3 | PAWLAK Wojciech | 73 |
| 8 | SAPA Marcin | 82 |
| 9 | LISOWICZ Tomasz | 85 |
| 10 | MAZUR Peter | 73 |
| 13 | ZAMANA Cezary | 74 |
| 14 | RABOŇ František | 74 |
| 15 | TACIAK Mateusz | 68 |
| 16 | PIĄTEK Zbigniew | 71 |
| 18 | ROGINA Radoslav | 70 |
| 23 | MARIN Matej | 67 |
| 24 | GOŁAŚ Michał | 65 |
| 28 | MARCZYŃSKI Tomasz | 70 |
| 30 | HOFFMANN Erik | 65 |
| 40 | KIENDYŚ Tomasz | 78 |
| 45 | HUZARSKI Bartosz | 69 |
| 47 | MATYSIAK Bartłomiej | 71 |
| 61 | DUIJN Huub | 73 |
| 66 | KARCZYŃSKI Marcin | 66 |