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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALENTI Luke | 69 |
| 2 | JULIEN Matisse | 70 |
| 3 | RUSSELL Evan | 64 |
| 6 | PLAMONDON Joel | 72 |
| 7 | COUTURE Samuel | 63 |
| 9 | INKSTER Eric | 73 |
| 13 | JUSSAUME Tristan | 70 |
| 14 | GAGNÉ Étienne | 64 |
| 17 | MOORE Manu | 62 |
| 19 | WALTON Jonas | 68 |