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 - 130
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Almonacid
1
60 kgCárdenas
2
59 kgGarrido
3
68 kgChaparro
4
54 kgArdila
11
58 kgRuíz
17
66 kgMansilla
28
68 kgRangel
29
63 kgSepulveda
40
66 kgRosendo
42
66 kgRamírez
46
61 kgPalomares
53
56 kgLobato
57
64 kgCabello
58
67 kgAffonso
67
63 kgRicheze
70
68 kgBorrajo
75
76 kgHidalio
81
77 kg
1
60 kgCárdenas
2
59 kgGarrido
3
68 kgChaparro
4
54 kgArdila
11
58 kgRuíz
17
66 kgMansilla
28
68 kgRangel
29
63 kgSepulveda
40
66 kgRosendo
42
66 kgRamírez
46
61 kgPalomares
53
56 kgLobato
57
64 kgCabello
58
67 kgAffonso
67
63 kgRicheze
70
68 kgBorrajo
75
76 kgHidalio
81
77 kg
Weight (KG) →
Result →
77
54
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALMONACID Patricio | 60 |
| 2 | CÁRDENAS Félix Rafael | 59 |
| 3 | GARRIDO Gonzalo | 68 |
| 4 | CHAPARRO Didier | 54 |
| 11 | ARDILA Mauricio Alberto | 58 |
| 17 | RUÍZ Eloy | 66 |
| 28 | MANSILLA Luis Miguel | 68 |
| 29 | RANGEL Hector Hugo | 63 |
| 40 | SEPULVEDA Luis Fernando | 66 |
| 42 | ROSENDO Jesús | 66 |
| 46 | RAMÍREZ Javier | 61 |
| 53 | PALOMARES Adrián | 56 |
| 57 | LOBATO Juan José | 64 |
| 58 | CABELLO Antonio | 67 |
| 67 | AFFONSO Murilo | 63 |
| 70 | RICHEZE Maximiliano | 68 |
| 75 | BORRAJO Alejandro Alberto | 76 |
| 81 | HIDALIO Miguel | 77 |