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 = 0.6 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Efimkin
7
67 kgKirchen
18
68 kgSchleck
21
65 kgDvorščík
23
68 kgRiška
25
73 kgAndrle
30
70 kgKonečný
31
67 kgAbass
35
65 kgAbdel Fatah
36
69 kgEl Nadi
37
74 kgKholafy
38
63 kgRasch
46
72 kgMugerli
51
68 kgAug
55
83 kgLauk
56
77 kgBroniš
71
74 kgNagy
75
52 kgLipták
76
68 kgMetlushenko
81
82 kg
7
67 kgKirchen
18
68 kgSchleck
21
65 kgDvorščík
23
68 kgRiška
25
73 kgAndrle
30
70 kgKonečný
31
67 kgAbass
35
65 kgAbdel Fatah
36
69 kgEl Nadi
37
74 kgKholafy
38
63 kgRasch
46
72 kgMugerli
51
68 kgAug
55
83 kgLauk
56
77 kgBroniš
71
74 kgNagy
75
52 kgLipták
76
68 kgMetlushenko
81
82 kg
Weight (KG) →
Result →
83
52
7
81
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | EFIMKIN Vladimir | 67 |
| 18 | KIRCHEN Kim | 68 |
| 21 | SCHLECK Fränk | 65 |
| 23 | DVORŠČÍK Milan | 68 |
| 25 | RIŠKA Martin | 73 |
| 30 | ANDRLE René | 70 |
| 31 | KONEČNÝ Tomáš | 67 |
| 35 | ABASS Mahmoud | 65 |
| 36 | ABDEL FATAH Mohamed | 69 |
| 37 | EL NADI Amer | 74 |
| 38 | KHOLAFY Mohamed | 63 |
| 46 | RASCH Gabriel | 72 |
| 51 | MUGERLI Matej | 68 |
| 55 | AUG Andrus | 83 |
| 56 | LAUK Andres | 77 |
| 71 | BRONIŠ Roman | 74 |
| 75 | NAGY Robert | 52 |
| 76 | LIPTÁK Miroslav | 68 |
| 81 | METLUSHENKO Yuri | 82 |