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 = 0.2 * weight + 30
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mauri
1
68 kgInduráin
2
76 kgVanderaerden
3
74 kgCordes
9
70 kgUgrumov
15
58 kgde Vries
20
75 kgMejia
21
63 kgBölts
22
73 kgvan der Poel
26
70 kgGiupponi
28
60 kgWeltz
47
65 kgAlonso
56
70 kgCabello
57
72 kgArntz
58
70 kgSkibby
82
70 kgHerrera
83
57 kgElliott
95
76 kgRipoll
99
66 kgScirea
101
80 kgDomínguez
109
67 kg
1
68 kgInduráin
2
76 kgVanderaerden
3
74 kgCordes
9
70 kgUgrumov
15
58 kgde Vries
20
75 kgMejia
21
63 kgBölts
22
73 kgvan der Poel
26
70 kgGiupponi
28
60 kgWeltz
47
65 kgAlonso
56
70 kgCabello
57
72 kgArntz
58
70 kgSkibby
82
70 kgHerrera
83
57 kgElliott
95
76 kgRipoll
99
66 kgScirea
101
80 kgDomínguez
109
67 kg
Weight (KG) →
Result →
80
57
1
109
# | Rider | Weight (KG) |
---|---|---|
1 | MAURI Melchor | 68 |
2 | INDURÁIN Miguel | 76 |
3 | VANDERAERDEN Eric | 74 |
9 | CORDES Tom | 70 |
15 | UGRUMOV Piotr | 58 |
20 | DE VRIES Gerrit | 75 |
21 | MEJIA Alvaro | 63 |
22 | BÖLTS Udo | 73 |
26 | VAN DER POEL Adrie | 70 |
28 | GIUPPONI Flavio | 60 |
47 | WELTZ Johnny | 65 |
56 | ALONSO Marino | 70 |
57 | CABELLO Francisco | 72 |
58 | ARNTZ Marcel | 70 |
82 | SKIBBY Jesper | 70 |
83 | HERRERA Luis Alberto | 57 |
95 | ELLIOTT Malcolm | 76 |
99 | RIPOLL José Andrés | 66 |
101 | SCIREA Mario | 80 |
109 | DOMÍNGUEZ Manuel Jorge | 67 |