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 = -10.1 * weight + 1446
This means that on average for every extra kilogram weight a rider loses -10.1 positions in the result.
Merckx
1
74 kgMortensen
3
70 kgPoulidor
4
71 kgRosiers
8
78 kgPijnen
10
72 kgGaida
990
65 kgTischler
990
79 kgKuiper
990
69 kgGilson
990
70 kgZoetemelk
990
68 kgConti
990
79 kgOvion
990
64 kgBracke
990
79 kgGodefroot
990
73 kgDierickx
990
74 kgDucreux
990
65 kgHarrison
990
73 kgLloyd
990
76 kg
1
74 kgMortensen
3
70 kgPoulidor
4
71 kgRosiers
8
78 kgPijnen
10
72 kgGaida
990
65 kgTischler
990
79 kgKuiper
990
69 kgGilson
990
70 kgZoetemelk
990
68 kgConti
990
79 kgOvion
990
64 kgBracke
990
79 kgGodefroot
990
73 kgDierickx
990
74 kgDucreux
990
65 kgHarrison
990
73 kgLloyd
990
76 kg
Weight (KG) →
Result →
79
64
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
3 | MORTENSEN Leif | 70 |
4 | POULIDOR Raymond | 71 |
8 | ROSIERS Roger | 78 |
10 | PIJNEN René | 72 |
990 | GAIDA Alfred | 65 |
990 | TISCHLER Erwin | 79 |
990 | KUIPER Hennie | 69 |
990 | GILSON Roger | 70 |
990 | ZOETEMELK Joop | 68 |
990 | CONTI Tino | 79 |
990 | OVION Régis | 64 |
990 | BRACKE Ferdinand | 79 |
990 | GODEFROOT Walter | 73 |
990 | DIERICKX André | 74 |
990 | DUCREUX Daniel | 65 |
990 | HARRISON Derek | 73 |
990 | LLOYD Dave | 76 |