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 - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JENNER Samuel | 64 |
| 3 | HAMILTON Lucas | 71 |
| 4 | DONOHOE Alistair | 62 |
| 6 | BOWDEN Scott | 65 |
| 7 | STORER Michael | 63 |
| 8 | MONK Cyrus | 67 |
| 11 | STANNARD Robert | 74 |
| 13 | SUNDERLAND Dylan | 67 |
| 14 | CARMAN Ben | 66 |
| 15 | EVANS Alexander | 63 |
| 16 | HINDLEY Jai | 60 |
| 17 | BERENDS Ethan | 61 |
| 19 | GROVES Kaden | 76 |
| 22 | SCOTSON Callum | 77 |
| 28 | O'BRIEN Kelland | 79 |