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 = 1.5 * weight - 71
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Fignon
4
67 kgRominger
6
65 kgBugno
7
68 kgBreukink
9
70 kgWinnen
16
60 kgMadiot
19
68 kgRichard
22
67 kgElli
23
71 kgArgentin
24
66 kgGayant
25
69 kgJärmann
26
73 kgSchepers
27
60 kgImboden
28
70 kgSkibby
31
70 kgSørensen
50
70 kgTolhoek
54
63 kgDernies
58
75 kgCenghialta
72
73 kgGlaus
81
67 kg
4
67 kgRominger
6
65 kgBugno
7
68 kgBreukink
9
70 kgWinnen
16
60 kgMadiot
19
68 kgRichard
22
67 kgElli
23
71 kgArgentin
24
66 kgGayant
25
69 kgJärmann
26
73 kgSchepers
27
60 kgImboden
28
70 kgSkibby
31
70 kgSørensen
50
70 kgTolhoek
54
63 kgDernies
58
75 kgCenghialta
72
73 kgGlaus
81
67 kg
Weight (KG) →
Result →
75
60
4
81
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FIGNON Laurent | 67 |
| 6 | ROMINGER Tony | 65 |
| 7 | BUGNO Gianni | 68 |
| 9 | BREUKINK Erik | 70 |
| 16 | WINNEN Peter | 60 |
| 19 | MADIOT Marc | 68 |
| 22 | RICHARD Pascal | 67 |
| 23 | ELLI Alberto | 71 |
| 24 | ARGENTIN Moreno | 66 |
| 25 | GAYANT Martial | 69 |
| 26 | JÄRMANN Rolf | 73 |
| 27 | SCHEPERS Eddy | 60 |
| 28 | IMBODEN Heinz | 70 |
| 31 | SKIBBY Jesper | 70 |
| 50 | SØRENSEN Rolf | 70 |
| 54 | TOLHOEK Patrick | 63 |
| 58 | DERNIES Michel | 75 |
| 72 | CENGHIALTA Bruno | 73 |
| 81 | GLAUS Gilbert | 67 |