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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRADDOCK Lawson | 69 |
| 2 | SHEFFIELD Magnus | 73 |
| 5 | STITES Tyler | 60 |
| 8 | HAGA Chad | 71.5 |
| 11 | SCOTT Jared | 66 |
| 14 | RICCITELLO Matthew | 55 |
| 16 | KESSLER Cole | 75 |
| 19 | SHEEHAN Riley | 69 |
| 21 | GARRISON Ian | 76 |
| 26 | KLEIN Tobias | 66 |
| 28 | FELTON Quinn | 63 |