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 = -22.5 * weight + 2022
This means that on average for every extra kilogram weight a rider loses -22.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WONG Kam-Po | 65 |
| 9 | BATES Gene | 61 |
| 75 | GERRANS Simon | 62 |
| 89 | CHADWICK Glen Alan | 75 |
| 990 | ZONNEVELD Thijs | 63 |
| 990 | REID Robin | 62 |
| 990 | TONDO Xavier | 68 |
| 990 | MCLEOD Ian | 66 |
| 990 | DANIELSON Tom | 58.5 |