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 = -0.1 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WATSON Calvin | 72 |
| 3 | EYSKENS Jeroen | 68 |
| 4 | BENOOT Tiesj | 72 |
| 6 | VENTURINI Clément | 60 |
| 11 | THEVENOT Guillaume | 69 |
| 17 | DELTOMBE Kevin | 66 |
| 18 | KOCH Jonas | 75 |
| 51 | BAEYENS James | 54 |
| 53 | KELLER Hermann | 80 |
| 54 | YSSAAD Yannis | 69 |