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 = 0.7 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Mazur
7
73 kgPawlak
15
73 kgKrotký
21
73 kgMarin
22
67 kgPiątek
30
71 kgGazvoda
32
72 kgKvasina
38
72 kgLisowicz
39
85 kgGaliński
42
63 kgKiendyś
44
78 kgHvastija
46
75 kgRiška
51
73 kgRomanik
52
62 kgBodnar
54
77 kgWitecki
58
70 kgHuizenga
62
72 kgSapa
69
82 kgMahorič
73
68 kgMol
80
83 kg
7
73 kgPawlak
15
73 kgKrotký
21
73 kgMarin
22
67 kgPiątek
30
71 kgGazvoda
32
72 kgKvasina
38
72 kgLisowicz
39
85 kgGaliński
42
63 kgKiendyś
44
78 kgHvastija
46
75 kgRiška
51
73 kgRomanik
52
62 kgBodnar
54
77 kgWitecki
58
70 kgHuizenga
62
72 kgSapa
69
82 kgMahorič
73
68 kgMol
80
83 kg
Weight (KG) →
Result →
85
62
7
80
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | MAZUR Peter | 73 |
| 15 | PAWLAK Wojciech | 73 |
| 21 | KROTKÝ Rostislav | 73 |
| 22 | MARIN Matej | 67 |
| 30 | PIĄTEK Zbigniew | 71 |
| 32 | GAZVODA Gregor | 72 |
| 38 | KVASINA Matija | 72 |
| 39 | LISOWICZ Tomasz | 85 |
| 42 | GALIŃSKI Marek | 63 |
| 44 | KIENDYŚ Tomasz | 78 |
| 46 | HVASTIJA Martin | 75 |
| 51 | RIŠKA Martin | 73 |
| 52 | ROMANIK Radosław | 62 |
| 54 | BODNAR Maciej | 77 |
| 58 | WITECKI Mariusz | 70 |
| 62 | HUIZENGA Jenning | 72 |
| 69 | SAPA Marcin | 82 |
| 73 | MAHORIČ Mitja | 68 |
| 80 | MOL Wouter | 83 |