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 = 1.8 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Nazaret
1
65 kgSevilla
4
62 kgPedraza
6
58 kgVillegas
8
73 kgPanizo
9
72 kgOchoa
10
61 kgRamos
12
65 kgAffonso
14
63 kgEvtushenko
32
72 kgSavitskiy
37
72 kgSerov
38
77 kgCaldeira
40
76 kgSuarez
43
67 kgdos Santos
45
70 kgCésar Veloso
56
69 kgvan Hummel
60
64 kgBertazzo
61
78 kg
1
65 kgSevilla
4
62 kgPedraza
6
58 kgVillegas
8
73 kgPanizo
9
72 kgOchoa
10
61 kgRamos
12
65 kgAffonso
14
63 kgEvtushenko
32
72 kgSavitskiy
37
72 kgSerov
38
77 kgCaldeira
40
76 kgSuarez
43
67 kgdos Santos
45
70 kgCésar Veloso
56
69 kgvan Hummel
60
64 kgBertazzo
61
78 kg
Weight (KG) →
Result →
78
58
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZARET Magno | 65 |
| 4 | SEVILLA Óscar | 62 |
| 6 | PEDRAZA Wálter Fernando | 58 |
| 8 | VILLEGAS Juan Pablo | 73 |
| 9 | PANIZO Gregolry | 72 |
| 10 | OCHOA Diego Antonio | 61 |
| 12 | RAMOS Kléber | 65 |
| 14 | AFFONSO Murilo | 63 |
| 32 | EVTUSHENKO Alexander | 72 |
| 37 | SAVITSKIY Ivan | 72 |
| 38 | SEROV Alexander | 77 |
| 40 | CALDEIRA Samuel José | 76 |
| 43 | SUAREZ Camilo Andres | 67 |
| 45 | DOS SANTOS Nilceu Aparecido | 70 |
| 56 | CÉSAR VELOSO Gustavo | 69 |
| 60 | VAN HUMMEL Kenny | 64 |
| 61 | BERTAZZO Omar | 78 |