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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GEE Derek | 72 |
| 2 | HOULE Hugo | 72 |
| 3 | LEONARD Michael | 60 |
| 4 | CÔTÉ Pier-André | 74 |
| 6 | VALENTI Luke | 69 |
| 7 | COUTURE Samuel | 67 |
| 8 | WALTON Jonas | 68 |
| 9 | PELOQUIN Leonard | 67 |
| 10 | JULIEN Matisse | 70 |
| 11 | GUILLEMETTE Mathias | 73 |
| 12 | PLAMONDON Joel | 72 |
| 20 | PICKRELL Riley | 72 |
| 22 | RAYMOND Louis | 67 |