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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Casagrande
4
64 kgGotti
5
65 kgChiappucci
6
67 kgMagnien
7
68 kgTchmil
9
75 kgSunderland
11
65 kgPiepoli
12
54 kgRobin
13
63 kgNardello
14
74 kgTonkov
15
70 kgGuidi
16
73 kgHamburger
18
58 kgSørensen
20
70 kgKonyshev
21
77 kgDonati
24
75 kgTafi
26
73 kgBonča
27
63 kgRebellin
28
63 kgMagnusson
29
70 kg
4
64 kgGotti
5
65 kgChiappucci
6
67 kgMagnien
7
68 kgTchmil
9
75 kgSunderland
11
65 kgPiepoli
12
54 kgRobin
13
63 kgNardello
14
74 kgTonkov
15
70 kgGuidi
16
73 kgHamburger
18
58 kgSørensen
20
70 kgKonyshev
21
77 kgDonati
24
75 kgTafi
26
73 kgBonča
27
63 kgRebellin
28
63 kgMagnusson
29
70 kg
Weight (KG) →
Result →
77
54
4
29
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CASAGRANDE Francesco | 64 |
| 5 | GOTTI Ivan | 65 |
| 6 | CHIAPPUCCI Claudio | 67 |
| 7 | MAGNIEN Emmanuel | 68 |
| 9 | TCHMIL Andrei | 75 |
| 11 | SUNDERLAND Scott | 65 |
| 12 | PIEPOLI Leonardo | 54 |
| 13 | ROBIN Jean-Cyril | 63 |
| 14 | NARDELLO Daniele | 74 |
| 15 | TONKOV Pavel | 70 |
| 16 | GUIDI Fabrizio | 73 |
| 18 | HAMBURGER Bo | 58 |
| 20 | SØRENSEN Rolf | 70 |
| 21 | KONYSHEV Dmitry | 77 |
| 24 | DONATI Massimo | 75 |
| 26 | TAFI Andrea | 73 |
| 27 | BONČA Valter | 63 |
| 28 | REBELLIN Davide | 63 |
| 29 | MAGNUSSON Glenn | 70 |