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 = 24.6 * weight - 1059
This means that on average for every extra kilogram weight a rider loses 24.6 positions in the result.
Monseré
4
66 kgDe Vlaeminck
7
74 kgVasseur
990
67 kgBracke
990
79 kgMortensen
990
70 kgJanssen
990
76 kgJansen
990
70 kg
4
66 kgDe Vlaeminck
7
74 kgVasseur
990
67 kgBracke
990
79 kgMortensen
990
70 kgJanssen
990
76 kgJansen
990
70 kg
Weight (KG) →
Result →
79
66
4
990
# | Rider | Weight (KG) |
---|---|---|
4 | MONSERÉ Jean-Pierre | 66 |
7 | DE VLAEMINCK Roger | 74 |
990 | VASSEUR Alain | 67 |
990 | BRACKE Ferdinand | 79 |
990 | MORTENSEN Leif | 70 |
990 | JANSSEN Jan | 76 |
990 | JANSEN Harrie | 70 |