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 = 0.3 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
den Bakker
5
71 kgSkibby
6
70 kgRué
7
74 kgSunderland
9
65 kgSciandri
11
75 kgWeltz
13
65 kgHodge
16
74 kgFondriest
17
70 kgGianetti
20
62 kgMujika
29
73 kgEscartín
30
61 kgKonyshev
32
77 kgJärmann
34
73 kgBramati
36
72 kgBreukink
40
70 kgInduráin
43
76 kgMauri
47
68 kgCordes
48
70 kg
5
71 kgSkibby
6
70 kgRué
7
74 kgSunderland
9
65 kgSciandri
11
75 kgWeltz
13
65 kgHodge
16
74 kgFondriest
17
70 kgGianetti
20
62 kgMujika
29
73 kgEscartín
30
61 kgKonyshev
32
77 kgJärmann
34
73 kgBramati
36
72 kgBreukink
40
70 kgInduráin
43
76 kgMauri
47
68 kgCordes
48
70 kg
Weight (KG) →
Result →
77
61
5
48
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DEN BAKKER Maarten | 71 |
| 6 | SKIBBY Jesper | 70 |
| 7 | RUÉ Gérard | 74 |
| 9 | SUNDERLAND Scott | 65 |
| 11 | SCIANDRI Maximilian | 75 |
| 13 | WELTZ Johnny | 65 |
| 16 | HODGE Stephen | 74 |
| 17 | FONDRIEST Maurizio | 70 |
| 20 | GIANETTI Mauro | 62 |
| 29 | MUJIKA Jokin | 73 |
| 30 | ESCARTÍN Fernando | 61 |
| 32 | KONYSHEV Dmitry | 77 |
| 34 | JÄRMANN Rolf | 73 |
| 36 | BRAMATI Davide | 72 |
| 40 | BREUKINK Erik | 70 |
| 43 | INDURÁIN Miguel | 76 |
| 47 | MAURI Melchor | 68 |
| 48 | CORDES Tom | 70 |