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 = 0.8 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Delgado
1
64 kgBugno
2
68 kgGotti
8
65 kgStephens
9
65 kgMejia
12
63 kgMurguialday
17
58 kgBreukink
18
70 kgElliott
19
76 kgMadouas
20
70 kgOvando
22
66 kgEscartín
26
61 kgChanteur
36
62 kgPagnin
42
74 kgSchur
49
73 kgUgrumov
54
58 kgBomans
61
74 kgCordes
70
70 kgGarmendia
76
68 kgDomínguez
79
67 kgLlaneras
83
65 kgRipoll
99
66 kg
1
64 kgBugno
2
68 kgGotti
8
65 kgStephens
9
65 kgMejia
12
63 kgMurguialday
17
58 kgBreukink
18
70 kgElliott
19
76 kgMadouas
20
70 kgOvando
22
66 kgEscartín
26
61 kgChanteur
36
62 kgPagnin
42
74 kgSchur
49
73 kgUgrumov
54
58 kgBomans
61
74 kgCordes
70
70 kgGarmendia
76
68 kgDomínguez
79
67 kgLlaneras
83
65 kgRipoll
99
66 kg
Weight (KG) →
Result →
76
58
1
99
# | Rider | Weight (KG) |
---|---|---|
1 | DELGADO Pedro | 64 |
2 | BUGNO Gianni | 68 |
8 | GOTTI Ivan | 65 |
9 | STEPHENS Neil | 65 |
12 | MEJIA Alvaro | 63 |
17 | MURGUIALDAY Javier | 58 |
18 | BREUKINK Erik | 70 |
19 | ELLIOTT Malcolm | 76 |
20 | MADOUAS Laurent | 70 |
22 | OVANDO Rolando | 66 |
26 | ESCARTÍN Fernando | 61 |
36 | CHANTEUR Pascal | 62 |
42 | PAGNIN Roberto | 74 |
49 | SCHUR Jan | 73 |
54 | UGRUMOV Piotr | 58 |
61 | BOMANS Carlo | 74 |
70 | CORDES Tom | 70 |
76 | GARMENDIA Aitor | 68 |
79 | DOMÍNGUEZ Manuel Jorge | 67 |
83 | LLANERAS Juan | 65 |
99 | RIPOLL José Andrés | 66 |