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 = -69.1 * weight + 5737
This means that on average for every extra kilogram weight a rider loses -69.1 positions in the result.
Rosiers
6
78 kgZoetemelk
990
68 kgDe Vlaeminck
990
74 kgMonseré
990
66 kgDíaz
990
72 kg
6
78 kgZoetemelk
990
68 kgDe Vlaeminck
990
74 kgMonseré
990
66 kgDíaz
990
72 kg
Weight (KG) →
Result →
78
66
6
990
# | Rider | Weight (KG) |
---|---|---|
6 | ROSIERS Roger | 78 |
990 | ZOETEMELK Joop | 68 |
990 | DE VLAEMINCK Roger | 74 |
990 | MONSERÉ Jean-Pierre | 66 |
990 | DÍAZ Ventura | 72 |