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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCNULTY Brandon | 69 |
| 2 | BARTA Will | 61 |
| 3 | ROSSKOPF Joey | 74 |
| 4 | BOYLE Evan | 77 |
| 6 | VERMEULEN Alexey | 66 |
| 8 | DEUEL Drake | 70 |
| 9 | STITES Tyler | 60 |
| 11 | HAGA Chad | 71.5 |
| 12 | SHMIDT Artem | 76 |
| 13 | LANGE Colby | 72 |
| 16 | SHEEHAN Riley | 69 |
| 17 | KESSLER Cole | 75 |
| 22 | ARNOPOL Richard | 61 |
| 28 | SCHUNK Conor | 65 |