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 | SCOTSON Miles | 76 |
| 4 | HAIG Jack | 67 |
| 5 | EDMONDSON Alex | 75 |
| 10 | DONOHOE Alistair | 62 |
| 11 | SCOTSON Callum | 77 |
| 13 | CAVANAGH Ryan | 72 |
| 16 | POWER Robert | 68 |
| 17 | O'CONNOR Ben | 67 |
| 25 | HINDLEY Jai | 60 |
| 28 | HARPER Chris | 67 |
| 35 | REYNOLDS Aden | 67 |
| 36 | NEWBERY Dylan | 75 |