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 = -1.1 * weight + 94
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROTH Ryan | 70 |
| 2 | CATAFORD Alexander | 70 |
| 3 | TUFT Svein | 77 |
| 4 | HOULE Hugo | 72 |
| 10 | BURKE Jack | 67 |
| 11 | ROBERGE Adam | 72 |
| 12 | GEE Derek | 72 |
| 14 | WOODS Michael | 62 |
| 17 | JAMIESON Adam | 75 |
| 20 | CÔTÉ Pier-André | 74 |
| 25 | BOILY David | 60 |
| 27 | GERVAIS Laurent | 72 |
| 28 | PICCOLI James | 65 |
| 42 | CONLY Lukas | 63 |