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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLWOHL Willi | 67 |
| 3 | CARDIS Romain | 72 |
| 7 | MAURELET Flavien | 56 |
| 8 | BAKKER Dennis | 74.5 |
| 9 | PORZNER Manuel | 75 |
| 10 | KOCH Christian | 68 |
| 12 | GAREL Adrien | 77 |
| 13 | GOOLAERTS Michael | 80 |
| 16 | EISING Tijmen | 80 |