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 = 0.8 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELISSONDE Kenny | 52 |
| 4 | PINOT Thibaut | 63 |
| 16 | DÉMARE Arnaud | 76 |
| 17 | GUILLEMOIS Romain | 66 |
| 18 | MAURELET Flavien | 56 |
| 25 | PEREZ Anthony | 70 |
| 32 | BARDET Romain | 65 |
| 34 | PETIT Adrien | 80 |