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 = -0.9 * weight + 77
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELOQUIN Leonard | 67 |
| 3 | HADFIELD Gavin | 73 |
| 6 | RENAUD-TREMBLAY Sasha | 60 |
| 7 | MOORE Manu | 62 |
| 16 | RAYMOND Louis | 67 |
| 23 | COUTURE Samuel | 67 |
| 34 | SATO Marc | 63 |
| 41 | GAGNÉ Étienne | 64 |