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 = -20.6 * weight + 2309
This means that on average for every extra kilogram weight a rider loses -20.6 positions in the result.
De Vlaeminck
1
74 kgRosiers
990
78 kgZoetemelk
990
68 kgMonseré
990
66 kgSaéz
990
74 kgDíaz
990
72 kg
1
74 kgRosiers
990
78 kgZoetemelk
990
68 kgMonseré
990
66 kgSaéz
990
74 kgDíaz
990
72 kg
Weight (KG) →
Result →
78
66
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | DE VLAEMINCK Roger | 74 |
990 | ROSIERS Roger | 78 |
990 | ZOETEMELK Joop | 68 |
990 | MONSERÉ Jean-Pierre | 66 |
990 | SAÉZ Ramón | 74 |
990 | DÍAZ Ventura | 72 |