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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETERS Alex | 67 |
| 2 | WACHTER Alexander | 72 |
| 4 | MÜHLBERGER Gregor | 64 |
| 6 | SCOTT Jacob | 68 |
| 7 | DIBBEN Jonathan | 78 |
| 8 | BALLERINI Davide | 71 |
| 10 | MACKINNON Sean | 75 |
| 11 | DOULL Owain | 71 |
| 19 | SCHREURS Hamish | 69 |