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 = -0.7 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLANAGAN Liam | 67 |
| 2 | MCDUNPHY Conn | 70 |
| 3 | BURNETT Josh | 73 |
| 6 | LÓPEZ Ian | 64 |
| 9 | HAUG Kieran | 67 |
| 11 | RUSSELL Evan | 64 |
| 12 | CASTILLO Ulises Alfredo | 72 |
| 17 | INKSTER Eric | 73 |
| 19 | STITES Tyler | 60 |
| 21 | OLIPHANT Aidan | 61 |
| 22 | MILES Carson | 64 |
| 23 | CHRÉTIEN Charles-Étienne | 65 |
| 24 | BICKMORE Cade | 74 |
| 28 | PELOQUIN Leonard | 67 |
| 29 | RENAUD-TREMBLAY Sasha | 60 |