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 = 1.5 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Mazur
2
73 kgPiątek
9
71 kgMahorič
12
68 kgWitecki
14
70 kgRiška
16
73 kgHuizenga
25
72 kgMarin
30
67 kgGaliński
46
63 kgGazvoda
51
72 kgMol
52
83 kgKvasina
53
72 kgKrotký
58
73 kgSapa
59
82 kgRomanik
60
62 kgPawlak
63
73 kgLisowicz
66
85 kgHvastija
67
75 kgKiendyś
71
78 kgBodnar
73
77 kg
2
73 kgPiątek
9
71 kgMahorič
12
68 kgWitecki
14
70 kgRiška
16
73 kgHuizenga
25
72 kgMarin
30
67 kgGaliński
46
63 kgGazvoda
51
72 kgMol
52
83 kgKvasina
53
72 kgKrotký
58
73 kgSapa
59
82 kgRomanik
60
62 kgPawlak
63
73 kgLisowicz
66
85 kgHvastija
67
75 kgKiendyś
71
78 kgBodnar
73
77 kg
Weight (KG) →
Result →
85
62
2
73
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAZUR Peter | 73 |
| 9 | PIĄTEK Zbigniew | 71 |
| 12 | MAHORIČ Mitja | 68 |
| 14 | WITECKI Mariusz | 70 |
| 16 | RIŠKA Martin | 73 |
| 25 | HUIZENGA Jenning | 72 |
| 30 | MARIN Matej | 67 |
| 46 | GALIŃSKI Marek | 63 |
| 51 | GAZVODA Gregor | 72 |
| 52 | MOL Wouter | 83 |
| 53 | KVASINA Matija | 72 |
| 58 | KROTKÝ Rostislav | 73 |
| 59 | SAPA Marcin | 82 |
| 60 | ROMANIK Radosław | 62 |
| 63 | PAWLAK Wojciech | 73 |
| 66 | LISOWICZ Tomasz | 85 |
| 67 | HVASTIJA Martin | 75 |
| 71 | KIENDYŚ Tomasz | 78 |
| 73 | BODNAR Maciej | 77 |