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 = 0.7 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Delgado
2
64 kgInduráin
4
76 kgMauri
7
68 kgRominger
11
65 kgMejia
20
63 kgBourguignon
38
72 kgHerrera
43
57 kgMujika
49
73 kgWeltz
57
65 kgScirea
59
80 kgPedersen
60
70 kgElliott
66
76 kgMurguialday
67
58 kgSchepers
69
60 kgJalabert
71
66 kgBölts
78
73 kgAlonso
80
70 kgCaroli
83
77 kgRipoll
92
66 kgLlach
96
58 kgDomínguez
109
67 kgCabello
116
72 kgTchmil
134
75 kg
2
64 kgInduráin
4
76 kgMauri
7
68 kgRominger
11
65 kgMejia
20
63 kgBourguignon
38
72 kgHerrera
43
57 kgMujika
49
73 kgWeltz
57
65 kgScirea
59
80 kgPedersen
60
70 kgElliott
66
76 kgMurguialday
67
58 kgSchepers
69
60 kgJalabert
71
66 kgBölts
78
73 kgAlonso
80
70 kgCaroli
83
77 kgRipoll
92
66 kgLlach
96
58 kgDomínguez
109
67 kgCabello
116
72 kgTchmil
134
75 kg
Weight (KG) →
Result →
80
57
2
134
# | Rider | Weight (KG) |
---|---|---|
2 | DELGADO Pedro | 64 |
4 | INDURÁIN Miguel | 76 |
7 | MAURI Melchor | 68 |
11 | ROMINGER Tony | 65 |
20 | MEJIA Alvaro | 63 |
38 | BOURGUIGNON Thierry | 72 |
43 | HERRERA Luis Alberto | 57 |
49 | MUJIKA Jokin | 73 |
57 | WELTZ Johnny | 65 |
59 | SCIREA Mario | 80 |
60 | PEDERSEN Atle | 70 |
66 | ELLIOTT Malcolm | 76 |
67 | MURGUIALDAY Javier | 58 |
69 | SCHEPERS Eddy | 60 |
71 | JALABERT Laurent | 66 |
78 | BÖLTS Udo | 73 |
80 | ALONSO Marino | 70 |
83 | CAROLI Daniele | 77 |
92 | RIPOLL José Andrés | 66 |
96 | LLACH Joaquin | 58 |
109 | DOMÍNGUEZ Manuel Jorge | 67 |
116 | CABELLO Francisco | 72 |
134 | TCHMIL Andrei | 75 |