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 = -53.6 * weight + 4612
This means that on average for every extra kilogram weight a rider loses -53.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
10 | GLEMSER Peter | 82 |
990 | SCHUTZ Edy | 72 |
990 | DÍAZ Mariano | 63 |
990 | SWERTS Roger | 75 |
990 | BALMAMION Franco | 67 |
990 | PFENNINGER Louis | 70 |
990 | HARRISON Derek | 73 |
990 | MARINE Jorge | 69 |