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 = -67.8 * weight + 5157
This means that on average for every extra kilogram weight a rider loses -67.8 positions in the result.
Paolini
5
66 kgMahorič
7
68 kgRatti
990
64 kgMoos
990
64 kgMiholjević
990
68 kgWalton
990
68 kg
5
66 kgMahorič
7
68 kgRatti
990
64 kgMoos
990
64 kgMiholjević
990
68 kgWalton
990
68 kg
Weight (KG) →
Result →
68
64
5
990
# | Rider | Weight (KG) |
---|---|---|
5 | PAOLINI Luca | 66 |
7 | MAHORIČ Mitja | 68 |
990 | RATTI Eddy | 64 |
990 | MOOS Alexandre | 64 |
990 | MIHOLJEVIĆ Vladimir | 68 |
990 | WALTON Brian | 68 |