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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Fortin
1
78 kgMugerli
2
68 kgMalucelli
5
68 kgPapok
7
76 kgRajović
8
74 kgBalkan
9
69 kgRamanau
10
68 kgKvasina
11
72 kgMihaylov
12
70 kgTamouridis
13
70 kgSamli
15
75 kgHristov
16
57 kgÖrken
17
69 kgPacchiardo
19
60 kgFrapporti
20
74 kgDi Sante
21
62 kgMalaguti
22
67 kgBarać
23
73 kgGamper
27
80 kg
1
78 kgMugerli
2
68 kgMalucelli
5
68 kgPapok
7
76 kgRajović
8
74 kgBalkan
9
69 kgRamanau
10
68 kgKvasina
11
72 kgMihaylov
12
70 kgTamouridis
13
70 kgSamli
15
75 kgHristov
16
57 kgÖrken
17
69 kgPacchiardo
19
60 kgFrapporti
20
74 kgDi Sante
21
62 kgMalaguti
22
67 kgBarać
23
73 kgGamper
27
80 kg
Weight (KG) →
Result →
80
57
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORTIN Filippo | 78 |
| 2 | MUGERLI Matej | 68 |
| 5 | MALUCELLI Matteo | 68 |
| 7 | PAPOK Siarhei | 76 |
| 8 | RAJOVIĆ Dušan | 74 |
| 9 | BALKAN Onur | 69 |
| 10 | RAMANAU Raman | 68 |
| 11 | KVASINA Matija | 72 |
| 12 | MIHAYLOV Nikolay | 70 |
| 13 | TAMOURIDIS Ioannis | 70 |
| 15 | SAMLI Feritcan | 75 |
| 16 | HRISTOV Stefan Koychev | 57 |
| 17 | ÖRKEN Ahmet | 69 |
| 19 | PACCHIARDO Davide | 60 |
| 20 | FRAPPORTI Mattia | 74 |
| 21 | DI SANTE Antonio | 62 |
| 22 | MALAGUTI Alessandro | 67 |
| 23 | BARAĆ Antonio | 73 |
| 27 | GAMPER Patrick | 80 |