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 = -0.5 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DENNIS Rohan | 72 |
| 3 | WATSON Calvin | 72 |
| 4 | MCCARTHY Jay | 63 |
| 14 | MORTON Lachlan | 62 |
| 20 | FLAKEMORE Campbell | 72 |
| 30 | HAIG Jack | 67 |
| 33 | HUCKER Robbie | 68 |
| 39 | VANSTONE Justin | 67 |