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 = -1.2 * weight + 129
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Skibby
6
70 kgvan der Poel
7
70 kgArntz
16
70 kgVanderaerden
19
74 kgElliott
20
76 kgDomínguez
22
67 kgScirea
27
80 kgUgrumov
30
58 kgWeltz
34
65 kgInduráin
39
76 kgMauri
40
68 kgGiupponi
43
60 kgMejia
50
63 kgde Vries
51
75 kgAlonso
74
70 kgBölts
77
73 kgCordes
78
70 kgCabello
87
72 kgHerrera
96
57 kgRipoll
112
66 kg
6
70 kgvan der Poel
7
70 kgArntz
16
70 kgVanderaerden
19
74 kgElliott
20
76 kgDomínguez
22
67 kgScirea
27
80 kgUgrumov
30
58 kgWeltz
34
65 kgInduráin
39
76 kgMauri
40
68 kgGiupponi
43
60 kgMejia
50
63 kgde Vries
51
75 kgAlonso
74
70 kgBölts
77
73 kgCordes
78
70 kgCabello
87
72 kgHerrera
96
57 kgRipoll
112
66 kg
Weight (KG) →
Result →
80
57
6
112
# | Rider | Weight (KG) |
---|---|---|
6 | SKIBBY Jesper | 70 |
7 | VAN DER POEL Adrie | 70 |
16 | ARNTZ Marcel | 70 |
19 | VANDERAERDEN Eric | 74 |
20 | ELLIOTT Malcolm | 76 |
22 | DOMÍNGUEZ Manuel Jorge | 67 |
27 | SCIREA Mario | 80 |
30 | UGRUMOV Piotr | 58 |
34 | WELTZ Johnny | 65 |
39 | INDURÁIN Miguel | 76 |
40 | MAURI Melchor | 68 |
43 | GIUPPONI Flavio | 60 |
50 | MEJIA Alvaro | 63 |
51 | DE VRIES Gerrit | 75 |
74 | ALONSO Marino | 70 |
77 | BÖLTS Udo | 73 |
78 | CORDES Tom | 70 |
87 | CABELLO Francisco | 72 |
96 | HERRERA Luis Alberto | 57 |
112 | RIPOLL José Andrés | 66 |