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 = -8.1 * weight + 1414
This means that on average for every extra kilogram weight a rider loses -8.1 positions in the result.
Karstens
2
74 kgMerckx
4
74 kgMourioux
6
71 kgSwerts
990
75 kgLasa
990
68 kgRosiers
990
78 kgVasseur
990
67 kgMortensen
990
70 kgPeffgen
990
67 kgPfenninger
990
70 kgDemeyer
990
85 kgDierickx
990
74 kgZoetemelk
990
68 kgJanssen
990
76 kgDíaz
990
72 kgTamames
990
66 kgPoulidor
990
71 kgTschan
990
68 kgGodefroot
990
73 kg
2
74 kgMerckx
4
74 kgMourioux
6
71 kgSwerts
990
75 kgLasa
990
68 kgRosiers
990
78 kgVasseur
990
67 kgMortensen
990
70 kgPeffgen
990
67 kgPfenninger
990
70 kgDemeyer
990
85 kgDierickx
990
74 kgZoetemelk
990
68 kgJanssen
990
76 kgDíaz
990
72 kgTamames
990
66 kgPoulidor
990
71 kgTschan
990
68 kgGodefroot
990
73 kg
Weight (KG) →
Result →
85
66
2
990
# | Rider | Weight (KG) |
---|---|---|
2 | KARSTENS Gerben | 74 |
4 | MERCKX Eddy | 74 |
6 | MOURIOUX Jacques | 71 |
990 | SWERTS Roger | 75 |
990 | LASA Miguel María | 68 |
990 | ROSIERS Roger | 78 |
990 | VASSEUR Alain | 67 |
990 | MORTENSEN Leif | 70 |
990 | PEFFGEN Wilfried | 67 |
990 | PFENNINGER Louis | 70 |
990 | DEMEYER Marc | 85 |
990 | DIERICKX André | 74 |
990 | ZOETEMELK Joop | 68 |
990 | JANSSEN Jan | 76 |
990 | DÍAZ Ventura | 72 |
990 | TAMAMES Agustín | 66 |
990 | POULIDOR Raymond | 71 |
990 | TSCHAN Jürgen | 68 |
990 | GODEFROOT Walter | 73 |