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 = 0.4 * weight + 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Vanderaerden
5
74 kgElliott
6
76 kgvan der Poel
8
70 kgDomínguez
13
67 kgSkibby
14
70 kgUgrumov
15
58 kgArntz
19
70 kgInduráin
28
76 kgMejia
33
63 kgWeltz
34
65 kgCordes
35
70 kgMauri
48
68 kgde Vries
55
75 kgCabello
61
72 kgRipoll
77
66 kgHerrera
90
57 kgBölts
92
73 kgAlonso
107
70 kgScirea
110
80 kg
5
74 kgElliott
6
76 kgvan der Poel
8
70 kgDomínguez
13
67 kgSkibby
14
70 kgUgrumov
15
58 kgArntz
19
70 kgInduráin
28
76 kgMejia
33
63 kgWeltz
34
65 kgCordes
35
70 kgMauri
48
68 kgde Vries
55
75 kgCabello
61
72 kgRipoll
77
66 kgHerrera
90
57 kgBölts
92
73 kgAlonso
107
70 kgScirea
110
80 kg
Weight (KG) →
Result →
80
57
5
110
# | Rider | Weight (KG) |
---|---|---|
5 | VANDERAERDEN Eric | 74 |
6 | ELLIOTT Malcolm | 76 |
8 | VAN DER POEL Adrie | 70 |
13 | DOMÍNGUEZ Manuel Jorge | 67 |
14 | SKIBBY Jesper | 70 |
15 | UGRUMOV Piotr | 58 |
19 | ARNTZ Marcel | 70 |
28 | INDURÁIN Miguel | 76 |
33 | MEJIA Alvaro | 63 |
34 | WELTZ Johnny | 65 |
35 | CORDES Tom | 70 |
48 | MAURI Melchor | 68 |
55 | DE VRIES Gerrit | 75 |
61 | CABELLO Francisco | 72 |
77 | RIPOLL José Andrés | 66 |
90 | HERRERA Luis Alberto | 57 |
92 | BÖLTS Udo | 73 |
107 | ALONSO Marino | 70 |
110 | SCIREA Mario | 80 |