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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAOLINI Luca | 66 |
| 2 | ZBERG Beat | 72 |
| 3 | JULICH Bobby | 68 |
| 4 | BROCHARD Laurent | 68 |
| 5 | BESSY Frédéric | 65 |
| 6 | DONATI Massimo | 75 |
| 7 | SCHNIDER Daniel | 65 |
| 9 | RASMUSSEN Michael | 58 |
| 10 | ZUCCONI Pietro | 63 |