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 = 0.5 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
de la Parte
4
64 kgKvasina
5
72 kgTamouridis
7
70 kgTopchanyuk
8
65 kgPöll
12
60 kgGerganov
17
60 kgKasa
20
72 kgGyurov
21
75 kgThill
28
73 kgMeeusen
29
62 kgJovanović
33
60 kgTanovițchii
35
73 kgPrevar
44
64 kgAdams
61
63 kgBakker
76
74.5 kgvan Kessel
84
68 kgMalaguti
87
67 kgLovassy
88
71 kgStević
110
66 kgSchäfer
124
66 kg
4
64 kgKvasina
5
72 kgTamouridis
7
70 kgTopchanyuk
8
65 kgPöll
12
60 kgGerganov
17
60 kgKasa
20
72 kgGyurov
21
75 kgThill
28
73 kgMeeusen
29
62 kgJovanović
33
60 kgTanovițchii
35
73 kgPrevar
44
64 kgAdams
61
63 kgBakker
76
74.5 kgvan Kessel
84
68 kgMalaguti
87
67 kgLovassy
88
71 kgStević
110
66 kgSchäfer
124
66 kg
Weight (KG) →
Result →
75
60
4
124
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE LA PARTE Víctor | 64 |
| 5 | KVASINA Matija | 72 |
| 7 | TAMOURIDIS Ioannis | 70 |
| 8 | TOPCHANYUK Artem | 65 |
| 12 | PÖLL Stefan | 60 |
| 17 | GERGANOV Evgeni | 60 |
| 20 | KASA Gabor | 72 |
| 21 | GYUROV Spas | 75 |
| 28 | THILL Tom | 73 |
| 29 | MEEUSEN Tom | 62 |
| 33 | JOVANOVIĆ Nebojša | 60 |
| 35 | TANOVIȚCHII Nicolae | 73 |
| 44 | PREVAR Oleksandr | 64 |
| 61 | ADAMS Joeri | 63 |
| 76 | BAKKER Dennis | 74.5 |
| 84 | VAN KESSEL Corné | 68 |
| 87 | MALAGUTI Alessandro | 67 |
| 88 | LOVASSY Krisztián | 71 |
| 110 | STEVIĆ Ivan | 66 |
| 124 | SCHÄFER Timo | 66 |