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 = -5.7 * weight + 1345
This means that on average for every extra kilogram weight a rider loses -5.7 positions in the result.
Dierickx
1
74 kgMerckx
990
74 kgSwerts
990
75 kgLasa
990
68 kgRosiers
990
78 kgMortensen
990
70 kgVasseur
990
67 kgKarstens
990
74 kgPeffgen
990
67 kgPfenninger
990
70 kgZoetemelk
990
68 kgDemeyer
990
85 kgDíaz
990
72 kgPoulidor
990
71 kgMourioux
990
71 kgTschan
990
68 kgGodefroot
990
73 kg
1
74 kgMerckx
990
74 kgSwerts
990
75 kgLasa
990
68 kgRosiers
990
78 kgMortensen
990
70 kgVasseur
990
67 kgKarstens
990
74 kgPeffgen
990
67 kgPfenninger
990
70 kgZoetemelk
990
68 kgDemeyer
990
85 kgDíaz
990
72 kgPoulidor
990
71 kgMourioux
990
71 kgTschan
990
68 kgGodefroot
990
73 kg
Weight (KG) →
Result →
85
67
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | DIERICKX André | 74 |
990 | MERCKX Eddy | 74 |
990 | SWERTS Roger | 75 |
990 | LASA Miguel María | 68 |
990 | ROSIERS Roger | 78 |
990 | MORTENSEN Leif | 70 |
990 | VASSEUR Alain | 67 |
990 | KARSTENS Gerben | 74 |
990 | PEFFGEN Wilfried | 67 |
990 | PFENNINGER Louis | 70 |
990 | ZOETEMELK Joop | 68 |
990 | DEMEYER Marc | 85 |
990 | DÍAZ Ventura | 72 |
990 | POULIDOR Raymond | 71 |
990 | MOURIOUX Jacques | 71 |
990 | TSCHAN Jürgen | 68 |
990 | GODEFROOT Walter | 73 |