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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMARGO Diego Andrés | 65 |
| 2 | SEVILLA Óscar | 62 |
| 3 | PLAMONDON Joel | 72 |
| 4 | GAFFURI Mattia | 67 |
| 7 | PAREDES Wilmar | 66 |
| 8 | MCDUNPHY Conn | 70 |
| 14 | OLIVER Ben | 71 |
| 15 | PETTITI Nicolò | 62 |
| 17 | COLE Owen | 71 |
| 18 | STOKES Ben | 68 |
| 21 | PELOQUIN Leonard | 67 |
| 30 | MILES Carson | 64 |
| 34 | ARNOPOL Richard | 61 |
| 37 | CASTILLO Ulises Alfredo | 72 |
| 40 | TRUFFER Carl | 73 |
| 43 | BOUCHARD Alexis | 61 |
| 46 | COUTURE Samuel | 67 |