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 = -1.3 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
dos Santos
1
70 kgvan Hummel
3
64 kgCaldeira
5
76 kgBertazzo
8
78 kgVillegas
9
73 kgCésar Veloso
21
69 kgSerov
23
77 kgEvtushenko
25
72 kgSevilla
26
62 kgOchoa
28
61 kgPanizo
29
72 kgRamos
32
65 kgNazaret
33
65 kgPedraza
46
58 kgSavitskiy
52
72 kgAffonso
55
63 kgSuarez
61
67 kg
1
70 kgvan Hummel
3
64 kgCaldeira
5
76 kgBertazzo
8
78 kgVillegas
9
73 kgCésar Veloso
21
69 kgSerov
23
77 kgEvtushenko
25
72 kgSevilla
26
62 kgOchoa
28
61 kgPanizo
29
72 kgRamos
32
65 kgNazaret
33
65 kgPedraza
46
58 kgSavitskiy
52
72 kgAffonso
55
63 kgSuarez
61
67 kg
Weight (KG) →
Result →
78
58
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOS SANTOS Nilceu Aparecido | 70 |
| 3 | VAN HUMMEL Kenny | 64 |
| 5 | CALDEIRA Samuel José | 76 |
| 8 | BERTAZZO Omar | 78 |
| 9 | VILLEGAS Juan Pablo | 73 |
| 21 | CÉSAR VELOSO Gustavo | 69 |
| 23 | SEROV Alexander | 77 |
| 25 | EVTUSHENKO Alexander | 72 |
| 26 | SEVILLA Óscar | 62 |
| 28 | OCHOA Diego Antonio | 61 |
| 29 | PANIZO Gregolry | 72 |
| 32 | RAMOS Kléber | 65 |
| 33 | NAZARET Magno | 65 |
| 46 | PEDRAZA Wálter Fernando | 58 |
| 52 | SAVITSKIY Ivan | 72 |
| 55 | AFFONSO Murilo | 63 |
| 61 | SUAREZ Camilo Andres | 67 |