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 = 19.9 * weight - 501
This means that on average for every extra kilogram weight a rider loses 19.9 positions in the result.
Ovion
8
64 kgRosiers
990
78 kgMerckx
990
74 kgMortensen
990
70 kgKuiper
990
69 kgGilson
990
70 kgGaida
990
65 kgTischler
990
79 kgZoetemelk
990
68 kgConti
990
79 kgPoulidor
990
71 kgBracke
990
79 kgDierickx
990
74 kgDucreux
990
65 kgGodefroot
990
73 kgHarrison
990
73 kgLloyd
990
76 kg
8
64 kgRosiers
990
78 kgMerckx
990
74 kgMortensen
990
70 kgKuiper
990
69 kgGilson
990
70 kgGaida
990
65 kgTischler
990
79 kgZoetemelk
990
68 kgConti
990
79 kgPoulidor
990
71 kgBracke
990
79 kgDierickx
990
74 kgDucreux
990
65 kgGodefroot
990
73 kgHarrison
990
73 kgLloyd
990
76 kg
Weight (KG) →
Result →
79
64
8
990
# | Rider | Weight (KG) |
---|---|---|
8 | OVION Régis | 64 |
990 | ROSIERS Roger | 78 |
990 | MERCKX Eddy | 74 |
990 | MORTENSEN Leif | 70 |
990 | KUIPER Hennie | 69 |
990 | GILSON Roger | 70 |
990 | GAIDA Alfred | 65 |
990 | TISCHLER Erwin | 79 |
990 | ZOETEMELK Joop | 68 |
990 | CONTI Tino | 79 |
990 | POULIDOR Raymond | 71 |
990 | BRACKE Ferdinand | 79 |
990 | DIERICKX André | 74 |
990 | DUCREUX Daniel | 65 |
990 | GODEFROOT Walter | 73 |
990 | HARRISON Derek | 73 |
990 | LLOYD Dave | 76 |