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 = 0.4 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Piątek
15
71 kgMahorič
16
68 kgMazur
17
73 kgKiendyś
26
78 kgKrotký
28
73 kgGaliński
34
63 kgMol
40
83 kgHuizenga
42
72 kgRomanik
56
62 kgHvastija
57
75 kgRiška
58
73 kgWitecki
61
70 kgPawlak
62
73 kgMarin
65
67 kgSapa
69
82 kgBodnar
70
77 kgGazvoda
74
72 kgKvasina
76
72 kg
15
71 kgMahorič
16
68 kgMazur
17
73 kgKiendyś
26
78 kgKrotký
28
73 kgGaliński
34
63 kgMol
40
83 kgHuizenga
42
72 kgRomanik
56
62 kgHvastija
57
75 kgRiška
58
73 kgWitecki
61
70 kgPawlak
62
73 kgMarin
65
67 kgSapa
69
82 kgBodnar
70
77 kgGazvoda
74
72 kgKvasina
76
72 kg
Weight (KG) →
Result →
83
62
15
76
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | PIĄTEK Zbigniew | 71 |
| 16 | MAHORIČ Mitja | 68 |
| 17 | MAZUR Peter | 73 |
| 26 | KIENDYŚ Tomasz | 78 |
| 28 | KROTKÝ Rostislav | 73 |
| 34 | GALIŃSKI Marek | 63 |
| 40 | MOL Wouter | 83 |
| 42 | HUIZENGA Jenning | 72 |
| 56 | ROMANIK Radosław | 62 |
| 57 | HVASTIJA Martin | 75 |
| 58 | RIŠKA Martin | 73 |
| 61 | WITECKI Mariusz | 70 |
| 62 | PAWLAK Wojciech | 73 |
| 65 | MARIN Matej | 67 |
| 69 | SAPA Marcin | 82 |
| 70 | BODNAR Maciej | 77 |
| 74 | GAZVODA Gregor | 72 |
| 76 | KVASINA Matija | 72 |