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 - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Cárdenas
1
59 kgHeras
2
59 kgPérez
3
61 kgMancebo
4
64 kgValverde
5
61 kgNozal
9
70 kgZaballa
11
66 kgValjavec
12
59 kgPiepoli
13
54 kgFerrío
14
51 kgGómez Marchante
15
60 kgArrieta
16
68 kgPérez Rodríguez
17
67 kgVinokourov
18
68 kgSastre
19
61 kgQuinziato
20
74 kgGarcía Quesada
21
63 kgOsa
22
65 kgLastras
23
68 kgLópez de Munain
25
65 kg
1
59 kgHeras
2
59 kgPérez
3
61 kgMancebo
4
64 kgValverde
5
61 kgNozal
9
70 kgZaballa
11
66 kgValjavec
12
59 kgPiepoli
13
54 kgFerrío
14
51 kgGómez Marchante
15
60 kgArrieta
16
68 kgPérez Rodríguez
17
67 kgVinokourov
18
68 kgSastre
19
61 kgQuinziato
20
74 kgGarcía Quesada
21
63 kgOsa
22
65 kgLastras
23
68 kgLópez de Munain
25
65 kg
Weight (KG) →
Result →
74
51
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÁRDENAS Félix Rafael | 59 |
| 2 | HERAS Roberto | 59 |
| 3 | PÉREZ Santiago | 61 |
| 4 | MANCEBO Francisco | 64 |
| 5 | VALVERDE Alejandro | 61 |
| 9 | NOZAL Isidro | 70 |
| 11 | ZABALLA Constantino | 66 |
| 12 | VALJAVEC Tadej | 59 |
| 13 | PIEPOLI Leonardo | 54 |
| 14 | FERRÍO Jorge | 51 |
| 15 | GÓMEZ MARCHANTE José Ángel | 60 |
| 16 | ARRIETA José Luis | 68 |
| 17 | PÉREZ RODRÍGUEZ Luis | 67 |
| 18 | VINOKOUROV Alexandre | 68 |
| 19 | SASTRE Carlos | 61 |
| 20 | QUINZIATO Manuel | 74 |
| 21 | GARCÍA QUESADA Carlos | 63 |
| 22 | OSA Unai | 65 |
| 23 | LASTRAS Pablo | 68 |
| 25 | LÓPEZ DE MUNAIN Alberto | 65 |