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 + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GEE Derek | 72 |
| 2 | DAL-CIN Matteo | 77 |
| 3 | CÔTÉ Pier-André | 74 |
| 5 | ROBERGE Adam | 72 |
| 6 | MUIR Warren | 72 |
| 8 | BOIVIN Guillaume | 78 |
| 15 | FOLEY Michael | 72 |
| 16 | KELLY Declan | 84 |
| 20 | CONLY Lukas | 63 |
| 25 | OLIPHANT Aidan | 61 |