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 = -0.6 * weight + 82
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bakelants
6
67 kgLloyd
7
70 kgde Jonge
10
65 kgDockx
13
64 kgRuijgh
16
64 kgDidier
23
68 kgTopchanyuk
25
65 kgHegreberg
34
72 kgGhyselinck
40
74 kgJeandesboz
43
69 kgGlasner
49
72 kgSoula
56
68 kgPrades
64
56 kgCousin
71
74 kgDe Schrooder
74
61 kgvan Amerongen
87
70 kgCourteille
91
62 kgNauleau
96
67 kg
6
67 kgLloyd
7
70 kgde Jonge
10
65 kgDockx
13
64 kgRuijgh
16
64 kgDidier
23
68 kgTopchanyuk
25
65 kgHegreberg
34
72 kgGhyselinck
40
74 kgJeandesboz
43
69 kgGlasner
49
72 kgSoula
56
68 kgPrades
64
56 kgCousin
71
74 kgDe Schrooder
74
61 kgvan Amerongen
87
70 kgCourteille
91
62 kgNauleau
96
67 kg
Weight (KG) →
Result →
74
56
6
96
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BAKELANTS Jan | 67 |
| 7 | LLOYD Daniel | 70 |
| 10 | DE JONGE Maarten | 65 |
| 13 | DOCKX Gert | 64 |
| 16 | RUIJGH Rob | 64 |
| 23 | DIDIER Laurent | 68 |
| 25 | TOPCHANYUK Artem | 65 |
| 34 | HEGREBERG Morten | 72 |
| 40 | GHYSELINCK Jan | 74 |
| 43 | JEANDESBOZ Fabrice | 69 |
| 49 | GLASNER Björn | 72 |
| 56 | SOULA Guillaume | 68 |
| 64 | PRADES Benjamín | 56 |
| 71 | COUSIN Jérôme | 74 |
| 74 | DE SCHROODER Benny | 61 |
| 87 | VAN AMERONGEN Thijs | 70 |
| 91 | COURTEILLE Arnaud | 62 |
| 96 | NAULEAU Bryan | 67 |