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 = -0.6 * weight + 92
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Elliott
2
76 kgde Vries
5
75 kgSkibby
12
70 kgvan der Poel
13
70 kgRipoll
15
66 kgArntz
24
70 kgMauri
25
68 kgBölts
29
73 kgUgrumov
31
58 kgCordes
39
70 kgMejia
40
63 kgCabello
49
72 kgInduráin
53
76 kgHerrera
72
57 kgAlonso
75
70 kgWeltz
96
65 kgGiupponi
98
60 kgVanderaerden
103
74 kgScirea
111
80 kgDomínguez
116
67 kg
2
76 kgde Vries
5
75 kgSkibby
12
70 kgvan der Poel
13
70 kgRipoll
15
66 kgArntz
24
70 kgMauri
25
68 kgBölts
29
73 kgUgrumov
31
58 kgCordes
39
70 kgMejia
40
63 kgCabello
49
72 kgInduráin
53
76 kgHerrera
72
57 kgAlonso
75
70 kgWeltz
96
65 kgGiupponi
98
60 kgVanderaerden
103
74 kgScirea
111
80 kgDomínguez
116
67 kg
Weight (KG) →
Result →
80
57
2
116
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ELLIOTT Malcolm | 76 |
| 5 | DE VRIES Gerrit | 75 |
| 12 | SKIBBY Jesper | 70 |
| 13 | VAN DER POEL Adrie | 70 |
| 15 | RIPOLL José Andrés | 66 |
| 24 | ARNTZ Marcel | 70 |
| 25 | MAURI Melchor | 68 |
| 29 | BÖLTS Udo | 73 |
| 31 | UGRUMOV Piotr | 58 |
| 39 | CORDES Tom | 70 |
| 40 | MEJIA Alvaro | 63 |
| 49 | CABELLO Francisco | 72 |
| 53 | INDURÁIN Miguel | 76 |
| 72 | HERRERA Luis Alberto | 57 |
| 75 | ALONSO Marino | 70 |
| 96 | WELTZ Johnny | 65 |
| 98 | GIUPPONI Flavio | 60 |
| 103 | VANDERAERDEN Eric | 74 |
| 111 | SCIREA Mario | 80 |
| 116 | DOMÍNGUEZ Manuel Jorge | 67 |