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 = -18.9 * weight + 2061
This means that on average for every extra kilogram weight a rider loses -18.9 positions in the result.
Merckx
1
74 kgPoulidor
2
71 kgMortensen
3
70 kgPettersson
5
75 kgHarrison
8
73 kgSwerts
990
75 kgSchleck
990
72 kgPijnen
990
72 kgVasseur
990
67 kgKrekels
990
73 kgKarstens
990
74 kgPettersson
990
75 kgPettersson
990
67 kgMourioux
990
71 kgBilsland
990
73 kgTschan
990
68 kgJolly
990
76 kg
1
74 kgPoulidor
2
71 kgMortensen
3
70 kgPettersson
5
75 kgHarrison
8
73 kgSwerts
990
75 kgSchleck
990
72 kgPijnen
990
72 kgVasseur
990
67 kgKrekels
990
73 kgKarstens
990
74 kgPettersson
990
75 kgPettersson
990
67 kgMourioux
990
71 kgBilsland
990
73 kgTschan
990
68 kgJolly
990
76 kg
Weight (KG) →
Result →
76
67
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
2 | POULIDOR Raymond | 71 |
3 | MORTENSEN Leif | 70 |
5 | PETTERSSON Gösta | 75 |
8 | HARRISON Derek | 73 |
990 | SWERTS Roger | 75 |
990 | SCHLECK Johny | 72 |
990 | PIJNEN René | 72 |
990 | VASSEUR Alain | 67 |
990 | KREKELS Jan | 73 |
990 | KARSTENS Gerben | 74 |
990 | PETTERSSON Sture | 75 |
990 | PETTERSSON Erik | 67 |
990 | MOURIOUX Jacques | 71 |
990 | BILSLAND William | 73 |
990 | TSCHAN Jürgen | 68 |
990 | JOLLY Brian | 76 |