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 = -2.7 * weight + 229
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Przydział
1
80 kgTaciak
6
68 kgPawlak
7
73 kgLisowicz
8
85 kgRaboň
9
74 kgSapa
10
82 kgBodnar
12
68 kgMazur
14
73 kgKiendyś
18
78 kgPiątek
22
71 kgZamana
25
74 kgHuzarski
27
69 kgRogina
28
70 kgMatysiak
33
71 kgMarin
52
67 kgMarczyński
59
70 kgGołaś
60
65 kgHoffmann
68
65 kgDuijn
82
73 kgKarczyński
102
66 kgMickiewicz
105
74 kg
1
80 kgTaciak
6
68 kgPawlak
7
73 kgLisowicz
8
85 kgRaboň
9
74 kgSapa
10
82 kgBodnar
12
68 kgMazur
14
73 kgKiendyś
18
78 kgPiątek
22
71 kgZamana
25
74 kgHuzarski
27
69 kgRogina
28
70 kgMatysiak
33
71 kgMarin
52
67 kgMarczyński
59
70 kgGołaś
60
65 kgHoffmann
68
65 kgDuijn
82
73 kgKarczyński
102
66 kgMickiewicz
105
74 kg
Weight (KG) →
Result →
85
65
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRZYDZIAŁ Piotr | 80 |
| 6 | TACIAK Mateusz | 68 |
| 7 | PAWLAK Wojciech | 73 |
| 8 | LISOWICZ Tomasz | 85 |
| 9 | RABOŇ František | 74 |
| 10 | SAPA Marcin | 82 |
| 12 | BODNAR Łukasz | 68 |
| 14 | MAZUR Peter | 73 |
| 18 | KIENDYŚ Tomasz | 78 |
| 22 | PIĄTEK Zbigniew | 71 |
| 25 | ZAMANA Cezary | 74 |
| 27 | HUZARSKI Bartosz | 69 |
| 28 | ROGINA Radoslav | 70 |
| 33 | MATYSIAK Bartłomiej | 71 |
| 52 | MARIN Matej | 67 |
| 59 | MARCZYŃSKI Tomasz | 70 |
| 60 | GOŁAŚ Michał | 65 |
| 68 | HOFFMANN Erik | 65 |
| 82 | DUIJN Huub | 73 |
| 102 | KARCZYŃSKI Marcin | 66 |
| 105 | MICKIEWICZ Jacek | 74 |