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 = 1.6 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Kirchen
1
68 kgAndrle
2
70 kgRasch
5
72 kgEl Nadi
6
74 kgBroniš
9
74 kgNagy
11
52 kgDvorščík
15
68 kgKonečný
25
67 kgAbdel Fatah
28
69 kgMugerli
30
68 kgEfimkin
39
67 kgSchleck
58
65 kgKholafy
59
63 kgAbass
65
65 kgLipták
67
68 kgRiška
69
73 kgAug
74
83 kgMetlushenko
84
82 kgLauk
90
77 kg
1
68 kgAndrle
2
70 kgRasch
5
72 kgEl Nadi
6
74 kgBroniš
9
74 kgNagy
11
52 kgDvorščík
15
68 kgKonečný
25
67 kgAbdel Fatah
28
69 kgMugerli
30
68 kgEfimkin
39
67 kgSchleck
58
65 kgKholafy
59
63 kgAbass
65
65 kgLipták
67
68 kgRiška
69
73 kgAug
74
83 kgMetlushenko
84
82 kgLauk
90
77 kg
Weight (KG) →
Result →
83
52
1
90
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRCHEN Kim | 68 |
| 2 | ANDRLE René | 70 |
| 5 | RASCH Gabriel | 72 |
| 6 | EL NADI Amer | 74 |
| 9 | BRONIŠ Roman | 74 |
| 11 | NAGY Robert | 52 |
| 15 | DVORŠČÍK Milan | 68 |
| 25 | KONEČNÝ Tomáš | 67 |
| 28 | ABDEL FATAH Mohamed | 69 |
| 30 | MUGERLI Matej | 68 |
| 39 | EFIMKIN Vladimir | 67 |
| 58 | SCHLECK Fränk | 65 |
| 59 | KHOLAFY Mohamed | 63 |
| 65 | ABASS Mahmoud | 65 |
| 67 | LIPTÁK Miroslav | 68 |
| 69 | RIŠKA Martin | 73 |
| 74 | AUG Andrus | 83 |
| 84 | METLUSHENKO Yuri | 82 |
| 90 | LAUK Andres | 77 |