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 = 2.6 * weight - 119
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Delgado
4
64 kgMejia
9
63 kgHerrera
11
57 kgRominger
15
65 kgWeltz
21
65 kgMujika
25
73 kgMurguialday
32
58 kgBourguignon
34
72 kgInduráin
35
76 kgJalabert
48
66 kgRipoll
51
66 kgLlach
59
58 kgPedersen
77
70 kgBölts
79
73 kgElliott
85
76 kgScirea
87
80 kgTchmil
89
75 kgAlonso
90
70 kgSchepers
91
60 kgMauri
105
68 kgCaroli
118
77 kgDomínguez
120
67 kgCabello
121
72 kg
4
64 kgMejia
9
63 kgHerrera
11
57 kgRominger
15
65 kgWeltz
21
65 kgMujika
25
73 kgMurguialday
32
58 kgBourguignon
34
72 kgInduráin
35
76 kgJalabert
48
66 kgRipoll
51
66 kgLlach
59
58 kgPedersen
77
70 kgBölts
79
73 kgElliott
85
76 kgScirea
87
80 kgTchmil
89
75 kgAlonso
90
70 kgSchepers
91
60 kgMauri
105
68 kgCaroli
118
77 kgDomínguez
120
67 kgCabello
121
72 kg
Weight (KG) →
Result →
80
57
4
121
# | Rider | Weight (KG) |
---|---|---|
4 | DELGADO Pedro | 64 |
9 | MEJIA Alvaro | 63 |
11 | HERRERA Luis Alberto | 57 |
15 | ROMINGER Tony | 65 |
21 | WELTZ Johnny | 65 |
25 | MUJIKA Jokin | 73 |
32 | MURGUIALDAY Javier | 58 |
34 | BOURGUIGNON Thierry | 72 |
35 | INDURÁIN Miguel | 76 |
48 | JALABERT Laurent | 66 |
51 | RIPOLL José Andrés | 66 |
59 | LLACH Joaquin | 58 |
77 | PEDERSEN Atle | 70 |
79 | BÖLTS Udo | 73 |
85 | ELLIOTT Malcolm | 76 |
87 | SCIREA Mario | 80 |
89 | TCHMIL Andrei | 75 |
90 | ALONSO Marino | 70 |
91 | SCHEPERS Eddy | 60 |
105 | MAURI Melchor | 68 |
118 | CAROLI Daniele | 77 |
120 | DOMÍNGUEZ Manuel Jorge | 67 |
121 | CABELLO Francisco | 72 |