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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Merlier
1
76 kgWærenskjold
3
92 kgCoquard
4
59 kgde Kleijn
5
68 kgMezgec
6
72 kgPluimers
7
67 kgRajović
8
74 kgEekhoff
9
75 kgMolano
10
72 kgOliveira
11
66 kgMoschetti
12
73 kgCimolai
13
70 kgWarlop
14
71 kgMalucelli
15
68 kgZijlaard
16
73 kgSyritsa
17
85 kgHamilton
18
71 kgLatour
19
66 kgRomeo
20
75 kg
1
76 kgWærenskjold
3
92 kgCoquard
4
59 kgde Kleijn
5
68 kgMezgec
6
72 kgPluimers
7
67 kgRajović
8
74 kgEekhoff
9
75 kgMolano
10
72 kgOliveira
11
66 kgMoschetti
12
73 kgCimolai
13
70 kgWarlop
14
71 kgMalucelli
15
68 kgZijlaard
16
73 kgSyritsa
17
85 kgHamilton
18
71 kgLatour
19
66 kgRomeo
20
75 kg
Weight (KG) →
Result →
92
59
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLIER Tim | 76 |
| 3 | WÆRENSKJOLD Søren | 92 |
| 4 | COQUARD Bryan | 59 |
| 5 | DE KLEIJN Arvid | 68 |
| 6 | MEZGEC Luka | 72 |
| 7 | PLUIMERS Rick | 67 |
| 8 | RAJOVIĆ Dušan | 74 |
| 9 | EEKHOFF Nils | 75 |
| 10 | MOLANO Juan Sebastián | 72 |
| 11 | OLIVEIRA Rui | 66 |
| 12 | MOSCHETTI Matteo | 73 |
| 13 | CIMOLAI Davide | 70 |
| 14 | WARLOP Jordi | 71 |
| 15 | MALUCELLI Matteo | 68 |
| 16 | ZIJLAARD Maikel | 73 |
| 17 | SYRITSA Gleb | 85 |
| 18 | HAMILTON Lucas | 71 |
| 19 | LATOUR Pierre | 66 |
| 20 | ROMEO Iván | 75 |