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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZABEL Rick | 81 |
| 4 | MCCABE Travis | 72 |
| 5 | OWEN Logan | 67 |
| 6 | PELLAUD Simon | 70 |
| 7 | CASTILLO Ulises Alfredo | 72 |
| 8 | TANNER David | 70 |
| 9 | LEDANOIS Kévin | 67 |
| 10 | DAL-CIN Matteo | 77 |
| 12 | PUTT Tanner | 75 |
| 13 | MURPHY Kyle | 67 |