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 = -1.3 * weight + 103
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOIVIN Guillaume | 78 |
| 2 | DUCHESNE Antoine | 75 |
| 3 | GEE Derek | 72 |
| 6 | MILES Carson | 64 |
| 7 | HOULE Hugo | 72 |
| 11 | ROBERGE Adam | 72 |
| 12 | INKSTER Eric | 73 |
| 17 | RUSSELL Evan | 64 |
| 18 | BURKE Jack | 67 |
| 19 | GERVAIS Laurent | 72 |
| 22 | CONLY Lukas | 63 |
| 24 | RUDDERHAM Ryan | 73 |
| 29 | CARREAU Lukas | 68 |
| 30 | SCHERER Etienne | 67 |
| 33 | MENEGON Nicholas | 59 |