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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTSON Callum | 77 |
| 2 | STANNARD Robert | 74 |
| 3 | STORER Michael | 63 |
| 6 | JENNER Samuel | 64 |
| 8 | SUNDERLAND Dylan | 67 |
| 9 | CAVANAGH Ryan | 72 |
| 11 | DONOHOE Alistair | 62 |
| 17 | O'BRIEN Kelland | 79 |