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 = -17 * weight + 1937
This means that on average for every extra kilogram weight a rider loses -17 positions in the result.
Merckx
1
74 kgPoulidor
2
71 kgKarstens
4
74 kgMourioux
6
71 kgSwerts
9
75 kgLasa
990
68 kgMortensen
990
70 kgVasseur
990
67 kgRosiers
990
78 kgPeffgen
990
67 kgPfenninger
990
70 kgDemeyer
990
85 kgDierickx
990
74 kgZoetemelk
990
68 kgDíaz
990
72 kgTamames
990
66 kgTschan
990
68 kgGodefroot
990
73 kg
1
74 kgPoulidor
2
71 kgKarstens
4
74 kgMourioux
6
71 kgSwerts
9
75 kgLasa
990
68 kgMortensen
990
70 kgVasseur
990
67 kgRosiers
990
78 kgPeffgen
990
67 kgPfenninger
990
70 kgDemeyer
990
85 kgDierickx
990
74 kgZoetemelk
990
68 kgDíaz
990
72 kgTamames
990
66 kgTschan
990
68 kgGodefroot
990
73 kg
Weight (KG) →
Result →
85
66
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
2 | POULIDOR Raymond | 71 |
4 | KARSTENS Gerben | 74 |
6 | MOURIOUX Jacques | 71 |
9 | SWERTS Roger | 75 |
990 | LASA Miguel María | 68 |
990 | MORTENSEN Leif | 70 |
990 | VASSEUR Alain | 67 |
990 | ROSIERS Roger | 78 |
990 | PEFFGEN Wilfried | 67 |
990 | PFENNINGER Louis | 70 |
990 | DEMEYER Marc | 85 |
990 | DIERICKX André | 74 |
990 | ZOETEMELK Joop | 68 |
990 | DÍAZ Ventura | 72 |
990 | TAMAMES Agustín | 66 |
990 | TSCHAN Jürgen | 68 |
990 | GODEFROOT Walter | 73 |