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 = 27.3 * weight - 1264
This means that on average for every extra kilogram weight a rider loses 27.3 positions in the result.
Merckx
1
74 kgPoulidor
3
71 kgLasa
4
68 kgMortensen
7
70 kgZoetemelk
10
68 kgSwerts
990
75 kgRosiers
990
78 kgVasseur
990
67 kgPeffgen
990
67 kgPfenninger
990
70 kgKarstens
990
74 kgDierickx
990
74 kgDemeyer
990
85 kgDíaz
990
72 kgMourioux
990
71 kgGodefroot
990
73 kgTschan
990
68 kg
1
74 kgPoulidor
3
71 kgLasa
4
68 kgMortensen
7
70 kgZoetemelk
10
68 kgSwerts
990
75 kgRosiers
990
78 kgVasseur
990
67 kgPeffgen
990
67 kgPfenninger
990
70 kgKarstens
990
74 kgDierickx
990
74 kgDemeyer
990
85 kgDíaz
990
72 kgMourioux
990
71 kgGodefroot
990
73 kgTschan
990
68 kg
Weight (KG) →
Result →
85
67
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
3 | POULIDOR Raymond | 71 |
4 | LASA Miguel María | 68 |
7 | MORTENSEN Leif | 70 |
10 | ZOETEMELK Joop | 68 |
990 | SWERTS Roger | 75 |
990 | ROSIERS Roger | 78 |
990 | VASSEUR Alain | 67 |
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 | MOURIOUX Jacques | 71 |
990 | GODEFROOT Walter | 73 |
990 | TSCHAN Jürgen | 68 |