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 = 0.4 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PREMONT Christophe | 69 |
| 2 | VANOVERBERGHE Arthur | 65 |
| 4 | ANTONINI Simone | 75 |
| 5 | KRIEGER Alexander | 71 |
| 6 | ROELANDTS Jürgen | 78 |
| 7 | BRÄNDLE Matthias | 80 |
| 9 | HOLLENSTEIN Reto | 80 |