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 = -2.6 * weight + 222
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
Kasa
1
72 kgGerganov
2
60 kgLovassy
7
71 kgMalaguti
8
67 kgBakker
15
74.5 kgGyurov
20
75 kgTanovițchii
23
73 kgde la Parte
33
64 kgTopchanyuk
44
65 kgKvasina
45
72 kgTamouridis
55
70 kgJovanović
57
60 kgThill
59
73 kgPöll
66
60 kgStević
71
66 kgPrevar
74
64 kgMeeusen
86
62 kgAdams
96
63 kgSchäfer
97
66 kgvan Kessel
105
68 kg
1
72 kgGerganov
2
60 kgLovassy
7
71 kgMalaguti
8
67 kgBakker
15
74.5 kgGyurov
20
75 kgTanovițchii
23
73 kgde la Parte
33
64 kgTopchanyuk
44
65 kgKvasina
45
72 kgTamouridis
55
70 kgJovanović
57
60 kgThill
59
73 kgPöll
66
60 kgStević
71
66 kgPrevar
74
64 kgMeeusen
86
62 kgAdams
96
63 kgSchäfer
97
66 kgvan Kessel
105
68 kg
Weight (KG) →
Result →
75
60
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KASA Gabor | 72 |
| 2 | GERGANOV Evgeni | 60 |
| 7 | LOVASSY Krisztián | 71 |
| 8 | MALAGUTI Alessandro | 67 |
| 15 | BAKKER Dennis | 74.5 |
| 20 | GYUROV Spas | 75 |
| 23 | TANOVIȚCHII Nicolae | 73 |
| 33 | DE LA PARTE Víctor | 64 |
| 44 | TOPCHANYUK Artem | 65 |
| 45 | KVASINA Matija | 72 |
| 55 | TAMOURIDIS Ioannis | 70 |
| 57 | JOVANOVIĆ Nebojša | 60 |
| 59 | THILL Tom | 73 |
| 66 | PÖLL Stefan | 60 |
| 71 | STEVIĆ Ivan | 66 |
| 74 | PREVAR Oleksandr | 64 |
| 86 | MEEUSEN Tom | 62 |
| 96 | ADAMS Joeri | 63 |
| 97 | SCHÄFER Timo | 66 |
| 105 | VAN KESSEL Corné | 68 |