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 = -20.1 * weight + 2219
This means that on average for every extra kilogram weight a rider loses -20.1 positions in the result.
Merckx
1
74 kgBracke
3
79 kgMortensen
4
70 kgPettersson
5
75 kgPoulidor
7
71 kgSwerts
990
75 kgSchleck
990
72 kgJanssen
990
76 kgPijnen
990
72 kgRosiers
990
78 kgVasseur
990
67 kgKrekels
990
73 kgKarstens
990
74 kgSteevens
990
73 kgPettersson
990
67 kgPettersson
990
75 kgMourioux
990
71 kgBilsland
990
73 kgTschan
990
68 kgHarrison
990
73 kgJolly
990
76 kg
1
74 kgBracke
3
79 kgMortensen
4
70 kgPettersson
5
75 kgPoulidor
7
71 kgSwerts
990
75 kgSchleck
990
72 kgJanssen
990
76 kgPijnen
990
72 kgRosiers
990
78 kgVasseur
990
67 kgKrekels
990
73 kgKarstens
990
74 kgSteevens
990
73 kgPettersson
990
67 kgPettersson
990
75 kgMourioux
990
71 kgBilsland
990
73 kgTschan
990
68 kgHarrison
990
73 kgJolly
990
76 kg
Weight (KG) →
Result →
79
67
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
3 | BRACKE Ferdinand | 79 |
4 | MORTENSEN Leif | 70 |
5 | PETTERSSON Gösta | 75 |
7 | POULIDOR Raymond | 71 |
990 | SWERTS Roger | 75 |
990 | SCHLECK Johny | 72 |
990 | JANSSEN Jan | 76 |
990 | PIJNEN René | 72 |
990 | ROSIERS Roger | 78 |
990 | VASSEUR Alain | 67 |
990 | KREKELS Jan | 73 |
990 | KARSTENS Gerben | 74 |
990 | STEEVENS Harry | 73 |
990 | PETTERSSON Erik | 67 |
990 | PETTERSSON Sture | 75 |
990 | MOURIOUX Jacques | 71 |
990 | BILSLAND William | 73 |
990 | TSCHAN Jürgen | 68 |
990 | HARRISON Derek | 73 |
990 | JOLLY Brian | 76 |