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 = 0.3 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMARGO Diego Andrés | 65 |
| 2 | SEVILLA Óscar | 62 |
| 3 | GAFFURI Mattia | 67 |
| 4 | PLAMONDON Joel | 72 |
| 5 | MCDUNPHY Conn | 70 |
| 12 | PAREDES Wilmar | 66 |
| 14 | COLE Owen | 71 |
| 15 | PETTITI Nicolò | 62 |
| 19 | STOKES Ben | 68 |
| 24 | MILES Carson | 64 |
| 26 | ARNOPOL Richard | 61 |
| 28 | OLIVER Ben | 71 |
| 29 | CASTILLO Ulises Alfredo | 72 |
| 35 | BOUCHARD Alexis | 61 |
| 40 | TRUFFER Carl | 73 |