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 = -0.1 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
5 | PATRAS Jakub | 69 |
24 | RAUS Jérôme | 73 |
30 | LEFEVRE Fabrice | 75 |
44 | HUITEMA Thomas | 72 |
46 | JORDAN Ayden | 61 |
49 | HAAGENSEN Magnus | 61 |
89 | PLANCKE Nicolas | 85 |
112 | DOTAN Ron | 61 |
113 | BOSSART Marin | 70 |