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 = -27.9 * weight + 2761
This means that on average for every extra kilogram weight a rider loses -27.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | KIRCHEN Erny | 74 |
990 | BARONCHELLI Gianbattista | 72 |
990 | RÍOS Abelardo Antonio | 63 |
990 | THALMANN Robert | 75 |
990 | SCHMID Iwan | 64 |
990 | BOURREAU Bernard | 63 |
990 | STEINMAYR Wolfgang | 63 |
990 | DUCHEMIN Marcel | 60 |
990 | WEIBEL Peter | 69 |
990 | DIDIER Lucien | 67 |