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 = 2.2 * weight - 104
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Soula
8
68 kgCourteille
10
62 kgPrades
13
56 kgGhyselinck
14
74 kgCousin
16
74 kgDockx
19
64 kgBakelants
21
67 kgde Jonge
23
65 kgRuijgh
25
64 kgDe Schrooder
38
61 kgTopchanyuk
44
65 kgHegreberg
51
72 kgDidier
62
68 kgvan Amerongen
65
70 kgLloyd
76
70 kgNauleau
83
67 kgJeandesboz
86
69 kgGlasner
93
72 kg
8
68 kgCourteille
10
62 kgPrades
13
56 kgGhyselinck
14
74 kgCousin
16
74 kgDockx
19
64 kgBakelants
21
67 kgde Jonge
23
65 kgRuijgh
25
64 kgDe Schrooder
38
61 kgTopchanyuk
44
65 kgHegreberg
51
72 kgDidier
62
68 kgvan Amerongen
65
70 kgLloyd
76
70 kgNauleau
83
67 kgJeandesboz
86
69 kgGlasner
93
72 kg
Weight (KG) →
Result →
74
56
8
93
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | SOULA Guillaume | 68 |
| 10 | COURTEILLE Arnaud | 62 |
| 13 | PRADES Benjamín | 56 |
| 14 | GHYSELINCK Jan | 74 |
| 16 | COUSIN Jérôme | 74 |
| 19 | DOCKX Gert | 64 |
| 21 | BAKELANTS Jan | 67 |
| 23 | DE JONGE Maarten | 65 |
| 25 | RUIJGH Rob | 64 |
| 38 | DE SCHROODER Benny | 61 |
| 44 | TOPCHANYUK Artem | 65 |
| 51 | HEGREBERG Morten | 72 |
| 62 | DIDIER Laurent | 68 |
| 65 | VAN AMERONGEN Thijs | 70 |
| 76 | LLOYD Daniel | 70 |
| 83 | NAULEAU Bryan | 67 |
| 86 | JEANDESBOZ Fabrice | 69 |
| 93 | GLASNER Björn | 72 |