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 = -0.9 * weight + 98
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EVANS Cadel | 64 |
| 3 | O'NEILL Nathan | 72 |
| 5 | ROGERS Michael | 74 |
| 20 | ROWNEY Paul | 74 |
| 31 | GATES Nick | 71 |
| 38 | FOX Morgan | 70 |
| 48 | DAVIS Allan | 73 |
| 51 | GERRANS Simon | 62 |
| 53 | DAVIS Scott | 60 |
| 55 | DREW Jamie Peter | 72 |
| 62 | WILSON Matthew | 72 |