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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Giunti
3
62 kgLoosli
5
71 kgScarponi
7
62 kgSabaliauskas
8
76 kgKolobnev
9
64 kgGrabsch
10
81 kgSimeoni
14
68 kgPrzydział
15
80 kgRomanik
16
62 kgCalcagni
17
65 kgKohut
19
65 kgPalumbo
20
61 kgKonečný
21
67 kgCelli
23
69 kgHeppner
25
69 kgHiekmann
26
70 kgBaumann
28
72 kgValoti
31
64 kg
3
62 kgLoosli
5
71 kgScarponi
7
62 kgSabaliauskas
8
76 kgKolobnev
9
64 kgGrabsch
10
81 kgSimeoni
14
68 kgPrzydział
15
80 kgRomanik
16
62 kgCalcagni
17
65 kgKohut
19
65 kgPalumbo
20
61 kgKonečný
21
67 kgCelli
23
69 kgHeppner
25
69 kgHiekmann
26
70 kgBaumann
28
72 kgValoti
31
64 kg
Weight (KG) →
Result →
81
61
3
31
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GIUNTI Massimo | 62 |
| 5 | LOOSLI David | 71 |
| 7 | SCARPONI Michele | 62 |
| 8 | SABALIAUSKAS Marius | 76 |
| 9 | KOLOBNEV Alexandr | 64 |
| 10 | GRABSCH Ralf | 81 |
| 14 | SIMEONI Filippo | 68 |
| 15 | PRZYDZIAŁ Piotr | 80 |
| 16 | ROMANIK Radosław | 62 |
| 17 | CALCAGNI Patrick | 65 |
| 19 | KOHUT Sławomir | 65 |
| 20 | PALUMBO Giuseppe | 61 |
| 21 | KONEČNÝ Tomáš | 67 |
| 23 | CELLI Luca | 69 |
| 25 | HEPPNER Jens | 69 |
| 26 | HIEKMANN Torsten | 70 |
| 28 | BAUMANN Eric | 72 |
| 31 | VALOTI Paolo | 64 |