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 = 2.7 * weight - 129
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Herrera
3
57 kgUgrumov
4
58 kgInduráin
5
76 kgMauri
11
68 kgMejia
12
63 kgBölts
19
73 kgCordes
29
70 kgde Vries
44
75 kgWeltz
50
65 kgvan der Poel
58
70 kgGiupponi
63
60 kgSkibby
72
70 kgArntz
79
70 kgAlonso
84
70 kgElliott
86
76 kgCabello
92
72 kgDomínguez
93
67 kgRipoll
102
66 kgScirea
109
80 kgVanderaerden
118
74 kg
3
57 kgUgrumov
4
58 kgInduráin
5
76 kgMauri
11
68 kgMejia
12
63 kgBölts
19
73 kgCordes
29
70 kgde Vries
44
75 kgWeltz
50
65 kgvan der Poel
58
70 kgGiupponi
63
60 kgSkibby
72
70 kgArntz
79
70 kgAlonso
84
70 kgElliott
86
76 kgCabello
92
72 kgDomínguez
93
67 kgRipoll
102
66 kgScirea
109
80 kgVanderaerden
118
74 kg
Weight (KG) →
Result →
80
57
3
118
# | Rider | Weight (KG) |
---|---|---|
3 | HERRERA Luis Alberto | 57 |
4 | UGRUMOV Piotr | 58 |
5 | INDURÁIN Miguel | 76 |
11 | MAURI Melchor | 68 |
12 | MEJIA Alvaro | 63 |
19 | BÖLTS Udo | 73 |
29 | CORDES Tom | 70 |
44 | DE VRIES Gerrit | 75 |
50 | WELTZ Johnny | 65 |
58 | VAN DER POEL Adrie | 70 |
63 | GIUPPONI Flavio | 60 |
72 | SKIBBY Jesper | 70 |
79 | ARNTZ Marcel | 70 |
84 | ALONSO Marino | 70 |
86 | ELLIOTT Malcolm | 76 |
92 | CABELLO Francisco | 72 |
93 | DOMÍNGUEZ Manuel Jorge | 67 |
102 | RIPOLL José Andrés | 66 |
109 | SCIREA Mario | 80 |
118 | VANDERAERDEN Eric | 74 |