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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAPTHORNE Darren | 70 |
| 3 | MENZIES Karl | 86 |
| 4 | CLARKE Hilton | 70 |
| 6 | LLOYD Matthew | 62 |
| 7 | SUTHERLAND Rory | 75 |
| 8 | CLARKE Jonathan | 68 |
| 9 | COOKE Baden | 75 |
| 12 | WILSON Matthew | 72 |
| 14 | CRAWFORD Jai | 59 |
| 16 | WURF Cameron | 71 |
| 17 | BUTTERFIELD Tyler | 75 |