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 + 51
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 |
| 2 | EDMONDSON Alex | 75 |
| 3 | DONOHOE Alistair | 62 |
| 4 | CAVANAGH Ryan | 72 |
| 5 | SCHULTZ Nick | 68 |
| 7 | OVETT Freddy | 64 |
| 8 | HAIG Jack | 67 |
| 9 | POWER Robert | 68 |
| 13 | HINDLEY Jai | 60 |
| 30 | MONK Cyrus | 67 |
| 33 | SUNDERLAND Dylan | 67 |
| 36 | HAMILTON Chris | 70 |
| 40 | O'CONNOR Ben | 67 |