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 = -2.6 * weight + 1062
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
Karstens
2
74 kgMourioux
5
71 kgSwerts
990
75 kgMerckx
990
74 kgLasa
990
68 kgMortensen
990
70 kgRosiers
990
78 kgVasseur
990
67 kgPeffgen
990
67 kgPfenninger
990
70 kgZoetemelk
990
68 kgDemeyer
990
85 kgDierickx
990
74 kgDíaz
990
72 kgPoulidor
990
71 kgGodefroot
990
73 kgTschan
990
68 kg
2
74 kgMourioux
5
71 kgSwerts
990
75 kgMerckx
990
74 kgLasa
990
68 kgMortensen
990
70 kgRosiers
990
78 kgVasseur
990
67 kgPeffgen
990
67 kgPfenninger
990
70 kgZoetemelk
990
68 kgDemeyer
990
85 kgDierickx
990
74 kgDíaz
990
72 kgPoulidor
990
71 kgGodefroot
990
73 kgTschan
990
68 kg
Weight (KG) →
Result →
85
67
2
990
# | Rider | Weight (KG) |
---|---|---|
2 | KARSTENS Gerben | 74 |
5 | MOURIOUX Jacques | 71 |
990 | SWERTS Roger | 75 |
990 | MERCKX Eddy | 74 |
990 | LASA Miguel María | 68 |
990 | MORTENSEN Leif | 70 |
990 | ROSIERS Roger | 78 |
990 | VASSEUR Alain | 67 |
990 | PEFFGEN Wilfried | 67 |
990 | PFENNINGER Louis | 70 |
990 | ZOETEMELK Joop | 68 |
990 | DEMEYER Marc | 85 |
990 | DIERICKX André | 74 |
990 | DÍAZ Ventura | 72 |
990 | POULIDOR Raymond | 71 |
990 | GODEFROOT Walter | 73 |
990 | TSCHAN Jürgen | 68 |