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 = 0.1 * weight + 31
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rominger
1
65 kgHodge
4
74 kgDufaux
5
60 kgJaskuła
7
76 kgBugno
9
68 kgDelgado
10
64 kgJärmann
12
73 kgRichard
14
67 kgArroyo
19
59 kgBortolami
26
73 kgRobin
28
63 kgBourguignon
30
72 kgGianetti
40
62 kgWabel
41
72 kgLelli
53
69 kgCenghialta
62
73 kgElli
66
71 kgBellati
68
55 kgCapelle
71
73 kgDemierre
77
70 kgVerstrepen
81
66 kg
1
65 kgHodge
4
74 kgDufaux
5
60 kgJaskuła
7
76 kgBugno
9
68 kgDelgado
10
64 kgJärmann
12
73 kgRichard
14
67 kgArroyo
19
59 kgBortolami
26
73 kgRobin
28
63 kgBourguignon
30
72 kgGianetti
40
62 kgWabel
41
72 kgLelli
53
69 kgCenghialta
62
73 kgElli
66
71 kgBellati
68
55 kgCapelle
71
73 kgDemierre
77
70 kgVerstrepen
81
66 kg
Weight (KG) →
Result →
76
55
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 4 | HODGE Stephen | 74 |
| 5 | DUFAUX Laurent | 60 |
| 7 | JASKUŁA Zenon | 76 |
| 9 | BUGNO Gianni | 68 |
| 10 | DELGADO Pedro | 64 |
| 12 | JÄRMANN Rolf | 73 |
| 14 | RICHARD Pascal | 67 |
| 19 | ARROYO Miguel | 59 |
| 26 | BORTOLAMI Gianluca | 73 |
| 28 | ROBIN Jean-Cyril | 63 |
| 30 | BOURGUIGNON Thierry | 72 |
| 40 | GIANETTI Mauro | 62 |
| 41 | WABEL Beat | 72 |
| 53 | LELLI Massimiliano | 69 |
| 62 | CENGHIALTA Bruno | 73 |
| 66 | ELLI Alberto | 71 |
| 68 | BELLATI Andrea | 55 |
| 71 | CAPELLE Christophe | 73 |
| 77 | DEMIERRE Serge | 70 |
| 81 | VERSTREPEN Johan | 66 |