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 = -2.1 * weight + 163
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELTOMBE Kevin | 66 |
| 2 | THEVENOT Guillaume | 69 |
| 5 | KELLER Hermann | 80 |
| 6 | PETERS Nans | 72 |
| 10 | EYSKENS Jeroen | 68 |
| 12 | YSSAAD Yannis | 69 |
| 13 | KOCH Jonas | 75 |
| 16 | BENOOT Tiesj | 72 |
| 19 | WATSON Calvin | 72 |
| 37 | VENTURINI Clément | 60 |
| 67 | BAEYENS James | 54 |