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 = -3.1 * weight + 1007
This means that on average for every extra kilogram weight a rider loses -3.1 positions in the result.
Merckx
1
74 kgPoulidor
2
71 kgKarstens
3
74 kgMortensen
8
70 kgSwerts
990
75 kgLasa
990
68 kgVasseur
990
67 kgRosiers
990
78 kgPeffgen
990
67 kgPfenninger
990
70 kgZoetemelk
990
68 kgDierickx
990
74 kgDemeyer
990
85 kgJanssen
990
76 kgDíaz
990
72 kgTamames
990
66 kgMourioux
990
71 kgGodefroot
990
73 kgTschan
990
68 kg
1
74 kgPoulidor
2
71 kgKarstens
3
74 kgMortensen
8
70 kgSwerts
990
75 kgLasa
990
68 kgVasseur
990
67 kgRosiers
990
78 kgPeffgen
990
67 kgPfenninger
990
70 kgZoetemelk
990
68 kgDierickx
990
74 kgDemeyer
990
85 kgJanssen
990
76 kgDíaz
990
72 kgTamames
990
66 kgMourioux
990
71 kgGodefroot
990
73 kgTschan
990
68 kg
Weight (KG) →
Result →
85
66
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
2 | POULIDOR Raymond | 71 |
3 | KARSTENS Gerben | 74 |
8 | MORTENSEN Leif | 70 |
990 | SWERTS Roger | 75 |
990 | LASA Miguel María | 68 |
990 | VASSEUR Alain | 67 |
990 | ROSIERS Roger | 78 |
990 | PEFFGEN Wilfried | 67 |
990 | PFENNINGER Louis | 70 |
990 | ZOETEMELK Joop | 68 |
990 | DIERICKX André | 74 |
990 | DEMEYER Marc | 85 |
990 | JANSSEN Jan | 76 |
990 | DÍAZ Ventura | 72 |
990 | TAMAMES Agustín | 66 |
990 | MOURIOUX Jacques | 71 |
990 | GODEFROOT Walter | 73 |
990 | TSCHAN Jürgen | 68 |