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 = 0.5 * weight + 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Roche
1
74 kgWechselberger
12
71 kgWinnen
18
60 kgSchepers
26
60 kgMurguialday
31
58 kgBreukink
35
70 kgLlach
36
58 kgJärmann
37
73 kgWeltz
42
65 kgWalton
48
68 kgMujika
69
73 kgOvando
88
66 kgVilamajo
98
70 kgCordes
99
70 kgNevens
107
58 kgBalboa
108
66 kgTolhoek
111
63 kgHarmeling
119
76 kg
1
74 kgWechselberger
12
71 kgWinnen
18
60 kgSchepers
26
60 kgMurguialday
31
58 kgBreukink
35
70 kgLlach
36
58 kgJärmann
37
73 kgWeltz
42
65 kgWalton
48
68 kgMujika
69
73 kgOvando
88
66 kgVilamajo
98
70 kgCordes
99
70 kgNevens
107
58 kgBalboa
108
66 kgTolhoek
111
63 kgHarmeling
119
76 kg
Weight (KG) →
Result →
76
58
1
119
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHE Stephen | 74 |
| 12 | WECHSELBERGER Helmut | 71 |
| 18 | WINNEN Peter | 60 |
| 26 | SCHEPERS Eddy | 60 |
| 31 | MURGUIALDAY Javier | 58 |
| 35 | BREUKINK Erik | 70 |
| 36 | LLACH Joaquin | 58 |
| 37 | JÄRMANN Rolf | 73 |
| 42 | WELTZ Johnny | 65 |
| 48 | WALTON Brian | 68 |
| 69 | MUJIKA Jokin | 73 |
| 88 | OVANDO Rolando | 66 |
| 98 | VILAMAJO Jaime | 70 |
| 99 | CORDES Tom | 70 |
| 107 | NEVENS Jan | 58 |
| 108 | BALBOA Antonio | 66 |
| 111 | TOLHOEK Patrick | 63 |
| 119 | HARMELING Rob | 76 |