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 = -0.7 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | SCHWARTZ Simon | 69 |
2 | ROONI Ron | 72 |
2 | BOUCHER Hugo | 67 |
3 | RAUS Jérôme | 73 |
12 | LEFEVRE Fabrice | 75 |
14 | LARSEN Alexander Nørskov | 65 |
15 | KLEIBRANT Wilmer | 61 |
15 | ZACHAREZEWSKI Patrik | 63 |
1 | HEWES Alex | 69 |
5 | VUYLSTEKE Cédric | 73 |