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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | GAVAZZI Pierino | 67 |
4 | DE VLAEMINCK Roger | 74 |
5 | MOSER Francesco | 79 |
7 | DE WILDE Etienne | 70 |
8 | BARONCHELLI Gianbattista | 72 |
9 | KELLY Sean | 77 |
10 | DE WOLF Fons | 75 |
15 | VANDI Alfio | 64 |