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 = -1.8 * weight + 146
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Lovassy
1
71 kgMarin
2
67 kgRogina
3
70 kgGazvoda
6
72 kgStević
7
66 kgMezgec
8
72 kgMahďar
9
61 kgBouglas
10
71 kgKvasina
12
72 kgDvorsky
17
64 kgJurčo
30
69 kgMugerli
36
68 kgGolčer
37
66.5 kgĐurasek
39
56 kgVrečer
53
68 kgPaďour
55
59 kgNagy
61
52 kgSchoffmann
62
67 kgJovanović
63
60 kgTybor
82
72 kg
1
71 kgMarin
2
67 kgRogina
3
70 kgGazvoda
6
72 kgStević
7
66 kgMezgec
8
72 kgMahďar
9
61 kgBouglas
10
71 kgKvasina
12
72 kgDvorsky
17
64 kgJurčo
30
69 kgMugerli
36
68 kgGolčer
37
66.5 kgĐurasek
39
56 kgVrečer
53
68 kgPaďour
55
59 kgNagy
61
52 kgSchoffmann
62
67 kgJovanović
63
60 kgTybor
82
72 kg
Weight (KG) →
Result →
72
52
1
82
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOVASSY Krisztián | 71 |
| 2 | MARIN Matej | 67 |
| 3 | ROGINA Radoslav | 70 |
| 6 | GAZVODA Gregor | 72 |
| 7 | STEVIĆ Ivan | 66 |
| 8 | MEZGEC Luka | 72 |
| 9 | MAHĎAR Martin | 61 |
| 10 | BOUGLAS Georgios | 71 |
| 12 | KVASINA Matija | 72 |
| 17 | DVORSKY David | 64 |
| 30 | JURČO Matej | 69 |
| 36 | MUGERLI Matej | 68 |
| 37 | GOLČER Jure | 66.5 |
| 39 | ĐURASEK Kristijan | 56 |
| 53 | VREČER Robert | 68 |
| 55 | PAĎOUR František | 59 |
| 61 | NAGY Robert | 52 |
| 62 | SCHOFFMANN Martin | 67 |
| 63 | JOVANOVIĆ Nebojša | 60 |
| 82 | TYBOR Patrik | 72 |