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 = -0.9 * weight + 111
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Rodríguez
1
67 kgJussaume
10
70 kgRosal
16
70 kgMesserschmidt
19
68 kgSilva
24
67 kgSerrano
27
60 kgGilabert
34
57 kgStevant
36
65 kgHuby
38
56 kgInkster
39
73 kgSelivert
45
61 kgVinokurov
46
65 kgCailliau
70
61 kgSemperena Oyarzabal
74
70 kgEpis
78
64 kgVinokurov
80
66 kgMoya
100
57 kgSilva
103
69 kgMontoli
108
66 kg
1
67 kgJussaume
10
70 kgRosal
16
70 kgMesserschmidt
19
68 kgSilva
24
67 kgSerrano
27
60 kgGilabert
34
57 kgStevant
36
65 kgHuby
38
56 kgInkster
39
73 kgSelivert
45
61 kgVinokurov
46
65 kgCailliau
70
61 kgSemperena Oyarzabal
74
70 kgEpis
78
64 kgVinokurov
80
66 kgMoya
100
57 kgSilva
103
69 kgMontoli
108
66 kg
Weight (KG) →
Result →
73
56
1
108
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRÍGUEZ Carlos | 67 |
| 10 | JUSSAUME Tristan | 70 |
| 16 | ROSAL Juanjo | 70 |
| 19 | MESSERSCHMIDT Jonas Fabian | 68 |
| 24 | SILVA Pedro | 67 |
| 27 | SERRANO Javier | 60 |
| 34 | GILABERT Arnau | 57 |
| 36 | STEVANT Malo | 65 |
| 38 | HUBY Antoine | 56 |
| 39 | INKSTER Eric | 73 |
| 45 | SELIVERT Fabien | 61 |
| 46 | VINOKUROV Nicolas | 65 |
| 70 | CAILLIAU Taïno | 61 |
| 74 | SEMPERENA OYARZABAL Telmo | 70 |
| 78 | EPIS Giosuè | 64 |
| 80 | VINOKUROV Alexandre | 66 |
| 100 | MOYA Sergi | 57 |
| 103 | SILVA João | 69 |
| 108 | MONTOLI Andrea | 66 |