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 = 9.9 * weight + 228
This means that on average for every extra kilogram weight a rider loses 9.9 positions in the result.
Zoetemelk
10
68 kgMerckx
990
74 kgSwerts
990
75 kgLasa
990
68 kgVasseur
990
67 kgMortensen
990
70 kgRosiers
990
78 kgPeffgen
990
67 kgPfenninger
990
70 kgKarstens
990
74 kgDierickx
990
74 kgDemeyer
990
85 kgDíaz
990
72 kgTamames
990
66 kgMourioux
990
71 kgPoulidor
990
71 kgTschan
990
68 kgGodefroot
990
73 kg
10
68 kgMerckx
990
74 kgSwerts
990
75 kgLasa
990
68 kgVasseur
990
67 kgMortensen
990
70 kgRosiers
990
78 kgPeffgen
990
67 kgPfenninger
990
70 kgKarstens
990
74 kgDierickx
990
74 kgDemeyer
990
85 kgDíaz
990
72 kgTamames
990
66 kgMourioux
990
71 kgPoulidor
990
71 kgTschan
990
68 kgGodefroot
990
73 kg
Weight (KG) →
Result →
85
66
10
990
# | Rider | Weight (KG) |
---|---|---|
10 | ZOETEMELK Joop | 68 |
990 | MERCKX Eddy | 74 |
990 | SWERTS Roger | 75 |
990 | LASA Miguel María | 68 |
990 | VASSEUR Alain | 67 |
990 | MORTENSEN Leif | 70 |
990 | ROSIERS Roger | 78 |
990 | PEFFGEN Wilfried | 67 |
990 | PFENNINGER Louis | 70 |
990 | KARSTENS Gerben | 74 |
990 | DIERICKX André | 74 |
990 | DEMEYER Marc | 85 |
990 | DÍAZ Ventura | 72 |
990 | TAMAMES Agustín | 66 |
990 | MOURIOUX Jacques | 71 |
990 | POULIDOR Raymond | 71 |
990 | TSCHAN Jürgen | 68 |
990 | GODEFROOT Walter | 73 |