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 = -2.3 * weight + 194
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Epis
1
64 kgRodríguez
2
67 kgSilva
9
67 kgVinokurov
18
66 kgInkster
20
73 kgRosal
22
70 kgMesserschmidt
31
68 kgCailliau
33
61 kgMontoli
36
66 kgHuby
43
56 kgGilabert
45
57 kgVinokurov
50
65 kgSemperena Oyarzabal
53
70 kgJussaume
63
70 kgStevant
69
65 kgSerrano
73
60 kgSilva
107
69 kgMoya
108
57 kgSelivert
119
61 kg
1
64 kgRodríguez
2
67 kgSilva
9
67 kgVinokurov
18
66 kgInkster
20
73 kgRosal
22
70 kgMesserschmidt
31
68 kgCailliau
33
61 kgMontoli
36
66 kgHuby
43
56 kgGilabert
45
57 kgVinokurov
50
65 kgSemperena Oyarzabal
53
70 kgJussaume
63
70 kgStevant
69
65 kgSerrano
73
60 kgSilva
107
69 kgMoya
108
57 kgSelivert
119
61 kg
Weight (KG) →
Result →
73
56
1
119
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EPIS Giosuè | 64 |
| 2 | RODRÍGUEZ Carlos | 67 |
| 9 | SILVA Pedro | 67 |
| 18 | VINOKUROV Alexandre | 66 |
| 20 | INKSTER Eric | 73 |
| 22 | ROSAL Juanjo | 70 |
| 31 | MESSERSCHMIDT Jonas Fabian | 68 |
| 33 | CAILLIAU Taïno | 61 |
| 36 | MONTOLI Andrea | 66 |
| 43 | HUBY Antoine | 56 |
| 45 | GILABERT Arnau | 57 |
| 50 | VINOKUROV Nicolas | 65 |
| 53 | SEMPERENA OYARZABAL Telmo | 70 |
| 63 | JUSSAUME Tristan | 70 |
| 69 | STEVANT Malo | 65 |
| 73 | SERRANO Javier | 60 |
| 107 | SILVA João | 69 |
| 108 | MOYA Sergi | 57 |
| 119 | SELIVERT Fabien | 61 |