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 = -1.3 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Sapa
3
82 kgZamana
5
74 kgPawlak
7
73 kgPiątek
8
71 kgLisowicz
10
85 kgMazur
13
73 kgPrzydział
15
80 kgRogina
16
70 kgRaboň
20
74 kgTaciak
25
68 kgMarczyński
26
70 kgHoffmann
28
65 kgMarin
29
67 kgGołaś
35
65 kgDuijn
40
73 kgHuzarski
46
69 kgKarczyński
50
66 kgKiendyś
52
78 kgMatysiak
57
71 kg
3
82 kgZamana
5
74 kgPawlak
7
73 kgPiątek
8
71 kgLisowicz
10
85 kgMazur
13
73 kgPrzydział
15
80 kgRogina
16
70 kgRaboň
20
74 kgTaciak
25
68 kgMarczyński
26
70 kgHoffmann
28
65 kgMarin
29
67 kgGołaś
35
65 kgDuijn
40
73 kgHuzarski
46
69 kgKarczyński
50
66 kgKiendyś
52
78 kgMatysiak
57
71 kg
Weight (KG) →
Result →
85
65
3
57
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SAPA Marcin | 82 |
| 5 | ZAMANA Cezary | 74 |
| 7 | PAWLAK Wojciech | 73 |
| 8 | PIĄTEK Zbigniew | 71 |
| 10 | LISOWICZ Tomasz | 85 |
| 13 | MAZUR Peter | 73 |
| 15 | PRZYDZIAŁ Piotr | 80 |
| 16 | ROGINA Radoslav | 70 |
| 20 | RABOŇ František | 74 |
| 25 | TACIAK Mateusz | 68 |
| 26 | MARCZYŃSKI Tomasz | 70 |
| 28 | HOFFMANN Erik | 65 |
| 29 | MARIN Matej | 67 |
| 35 | GOŁAŚ Michał | 65 |
| 40 | DUIJN Huub | 73 |
| 46 | HUZARSKI Bartosz | 69 |
| 50 | KARCZYŃSKI Marcin | 66 |
| 52 | KIENDYŚ Tomasz | 78 |
| 57 | MATYSIAK Bartłomiej | 71 |