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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCABE Travis | 72 |
| 2 | CANOLA Marco | 66 |
| 4 | POWLESS Neilson | 67 |
| 5 | MORTON Lachlan | 62 |
| 6 | MURPHY Kyle | 67 |
| 7 | CATAFORD Alexander | 70 |
| 8 | ORONTE Emerson | 65 |
| 13 | KUSS Sepp | 61 |
| 14 | CLARKE Jonathan | 68 |