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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHYS Robbe | 72 |
| 3 | BAX Sjoerd | 78 |
| 4 | RÜEGG Lukas | 66 |
| 5 | MCDUNPHY Conn | 70 |
| 8 | TULNER Rens | 62 |
| 9 | STEDMAN Maximilian | 54 |
| 21 | DALY Cormac | 78 |
| 23 | ROBERTS William | 69 |
| 24 | RYAN Fintan | 70 |