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 = 1.3 * weight - 72
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Špilak
1
68 kgMaes
3
78 kgHermans
5
72 kgCherel
6
65 kgSeeldraeyers
8
60 kgRuijgh
9
64 kgFrank
11
64 kgBakelants
13
67 kgDufrasne
14
70 kgGourgue
15
62 kgJacobs
17
68 kgDegand
18
63 kgKreder
20
67 kgSchär
22
78 kgRoux
24
73 kgPratte
25
67 kgvan Vooren
30
75 kgVanspeybrouck
33
76 kgAugustyn
35
65 kgGastauer
43
73 kgSmukulis
46
72 kgCordeel
64
80 kg
1
68 kgMaes
3
78 kgHermans
5
72 kgCherel
6
65 kgSeeldraeyers
8
60 kgRuijgh
9
64 kgFrank
11
64 kgBakelants
13
67 kgDufrasne
14
70 kgGourgue
15
62 kgJacobs
17
68 kgDegand
18
63 kgKreder
20
67 kgSchär
22
78 kgRoux
24
73 kgPratte
25
67 kgvan Vooren
30
75 kgVanspeybrouck
33
76 kgAugustyn
35
65 kgGastauer
43
73 kgSmukulis
46
72 kgCordeel
64
80 kg
Weight (KG) →
Result →
80
60
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠPILAK Simon | 68 |
| 3 | MAES Nikolas | 78 |
| 5 | HERMANS Ben | 72 |
| 6 | CHEREL Mikaël | 65 |
| 8 | SEELDRAEYERS Kevin | 60 |
| 9 | RUIJGH Rob | 64 |
| 11 | FRANK Mathias | 64 |
| 13 | BAKELANTS Jan | 67 |
| 14 | DUFRASNE Jonathan | 70 |
| 15 | GOURGUE Benjamin | 62 |
| 17 | JACOBS Pieter | 68 |
| 18 | DEGAND Thomas | 63 |
| 20 | KREDER Michel | 67 |
| 22 | SCHÄR Michael | 78 |
| 24 | ROUX Anthony | 73 |
| 25 | PRATTE Philippe | 67 |
| 30 | VAN VOOREN Steven | 75 |
| 33 | VANSPEYBROUCK Pieter | 76 |
| 35 | AUGUSTYN John-Lee | 65 |
| 43 | GASTAUER Ben | 73 |
| 46 | SMUKULIS Gatis | 72 |
| 64 | CORDEEL Sander | 80 |