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 = -1.8 * weight + 161
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | KOCH Jonas | 75 |
| 9 | WATSON Calvin | 72 |
| 20 | BENOOT Tiesj | 72 |
| 30 | KELLER Hermann | 80 |
| 34 | THEVENOT Guillaume | 69 |
| 35 | VENTURINI Clément | 60 |
| 38 | PETERS Nans | 72 |
| 41 | DELTOMBE Kevin | 66 |
| 43 | EYSKENS Jeroen | 68 |
| 53 | YSSAAD Yannis | 69 |
| 72 | BAEYENS James | 54 |