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 = -1.4 * weight + 157
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Elliott
2
76 kgWeltz
8
65 kgCaroli
13
77 kgPedersen
16
70 kgJalabert
18
66 kgDomínguez
19
67 kgScirea
20
80 kgMejia
30
63 kgDelgado
41
64 kgMujika
43
73 kgMauri
47
68 kgMurguialday
59
58 kgBölts
66
73 kgSchepers
74
60 kgBourguignon
76
72 kgHerrera
81
57 kgCabello
87
72 kgAlonso
103
70 kgInduráin
107
76 kgTchmil
110
75 kgRominger
114
65 kgRipoll
126
66 kgLlach
128
58 kg
2
76 kgWeltz
8
65 kgCaroli
13
77 kgPedersen
16
70 kgJalabert
18
66 kgDomínguez
19
67 kgScirea
20
80 kgMejia
30
63 kgDelgado
41
64 kgMujika
43
73 kgMauri
47
68 kgMurguialday
59
58 kgBölts
66
73 kgSchepers
74
60 kgBourguignon
76
72 kgHerrera
81
57 kgCabello
87
72 kgAlonso
103
70 kgInduráin
107
76 kgTchmil
110
75 kgRominger
114
65 kgRipoll
126
66 kgLlach
128
58 kg
Weight (KG) →
Result →
80
57
2
128
# | Rider | Weight (KG) |
---|---|---|
2 | ELLIOTT Malcolm | 76 |
8 | WELTZ Johnny | 65 |
13 | CAROLI Daniele | 77 |
16 | PEDERSEN Atle | 70 |
18 | JALABERT Laurent | 66 |
19 | DOMÍNGUEZ Manuel Jorge | 67 |
20 | SCIREA Mario | 80 |
30 | MEJIA Alvaro | 63 |
41 | DELGADO Pedro | 64 |
43 | MUJIKA Jokin | 73 |
47 | MAURI Melchor | 68 |
59 | MURGUIALDAY Javier | 58 |
66 | BÖLTS Udo | 73 |
74 | SCHEPERS Eddy | 60 |
76 | BOURGUIGNON Thierry | 72 |
81 | HERRERA Luis Alberto | 57 |
87 | CABELLO Francisco | 72 |
103 | ALONSO Marino | 70 |
107 | INDURÁIN Miguel | 76 |
110 | TCHMIL Andrei | 75 |
114 | ROMINGER Tony | 65 |
126 | RIPOLL José Andrés | 66 |
128 | LLACH Joaquin | 58 |