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 = 2.9 * weight - 136
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Delgado
2
64 kgInduráin
7
76 kgHerrera
12
57 kgRominger
16
65 kgMejia
17
63 kgMurguialday
27
58 kgWeltz
28
65 kgBourguignon
37
72 kgBölts
53
73 kgMujika
62
73 kgLlach
65
58 kgJalabert
70
66 kgMauri
71
68 kgAlonso
75
70 kgRipoll
80
66 kgSchepers
85
60 kgPedersen
89
70 kgCaroli
101
77 kgDomínguez
105
67 kgTchmil
106
75 kgElliott
116
76 kgScirea
117
80 kgCabello
118
72 kg
2
64 kgInduráin
7
76 kgHerrera
12
57 kgRominger
16
65 kgMejia
17
63 kgMurguialday
27
58 kgWeltz
28
65 kgBourguignon
37
72 kgBölts
53
73 kgMujika
62
73 kgLlach
65
58 kgJalabert
70
66 kgMauri
71
68 kgAlonso
75
70 kgRipoll
80
66 kgSchepers
85
60 kgPedersen
89
70 kgCaroli
101
77 kgDomínguez
105
67 kgTchmil
106
75 kgElliott
116
76 kgScirea
117
80 kgCabello
118
72 kg
Weight (KG) →
Result →
80
57
2
118
# | Rider | Weight (KG) |
---|---|---|
2 | DELGADO Pedro | 64 |
7 | INDURÁIN Miguel | 76 |
12 | HERRERA Luis Alberto | 57 |
16 | ROMINGER Tony | 65 |
17 | MEJIA Alvaro | 63 |
27 | MURGUIALDAY Javier | 58 |
28 | WELTZ Johnny | 65 |
37 | BOURGUIGNON Thierry | 72 |
53 | BÖLTS Udo | 73 |
62 | MUJIKA Jokin | 73 |
65 | LLACH Joaquin | 58 |
70 | JALABERT Laurent | 66 |
71 | MAURI Melchor | 68 |
75 | ALONSO Marino | 70 |
80 | RIPOLL José Andrés | 66 |
85 | SCHEPERS Eddy | 60 |
89 | PEDERSEN Atle | 70 |
101 | CAROLI Daniele | 77 |
105 | DOMÍNGUEZ Manuel Jorge | 67 |
106 | TCHMIL Andrei | 75 |
116 | ELLIOTT Malcolm | 76 |
117 | SCIREA Mario | 80 |
118 | CABELLO Francisco | 72 |