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 = -0.7 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WILSON Matthew | 72 |
| 4 | BROWN Graeme Allen | 76 |
| 7 | GATES Nick | 71 |
| 9 | HENDERSON Gregory | 75 |
| 10 | DREW Jamie Peter | 72 |
| 11 | O'GRADY Stuart | 73 |
| 12 | HAYMAN Mathew | 78 |
| 15 | JONKER Patrick | 69 |
| 16 | EVANS Cadel | 64 |
| 17 | SWEET Jay | 69 |