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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEYER Cameron | 70 |
| 2 | TERPSTRA Niki | 75 |
| 3 | HAUSSLER Heinrich | 74 |
| 4 | RASMUSSEN Alex | 88 |
| 5 | VERDUGO Gorka | 71 |
| 6 | HOLLENSTEIN Reto | 80 |
| 7 | KOCH Michel | 69 |
| 8 | VELITS Peter | 63 |
| 9 | HESJEDAL Ryder | 73 |
| 10 | TOSATTO Matteo | 74 |
| 11 | VISCONTI Giovanni | 63 |
| 12 | FRANK Mathias | 64 |