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 = -0.6 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTSON Callum | 77 |
| 2 | SCOTSON Miles | 76 |
| 3 | O'CONNOR Ben | 67 |
| 6 | STORER Michael | 63 |
| 9 | SCHULTZ Nick | 68 |
| 12 | DONOHOE Alistair | 62 |
| 13 | JENNER Samuel | 64 |
| 15 | CAVANAGH Ryan | 72 |
| 16 | HARPER Chris | 67 |
| 17 | HAMILTON Lucas | 71 |
| 20 | NEWBERY Dylan | 75 |
| 22 | OVETT Freddy | 64 |
| 29 | HINDLEY Jai | 60 |