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 = -0.6 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUCHESNE Antoine | 75 |
| 2 | PERRY Benjamin | 71 |
| 5 | TUFT Svein | 77 |
| 7 | ROTH Ryan | 70 |
| 8 | PICCOLI James | 65 |
| 9 | BURKE Jack | 67 |
| 17 | GEE Derek | 72 |
| 20 | ANDERSON Ryan | 66 |
| 21 | VANDALE Danick | 63 |
| 23 | CÔTÉ Pier-André | 74 |