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 = 0.8 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DANIEL Gregory | 64 |
| 2 | KUSS Sepp | 61 |
| 6 | POWLESS Neilson | 67 |
| 7 | OWEN Logan | 67 |
| 9 | BARTA Will | 61 |
| 11 | PERRY Benjamin | 71 |
| 13 | BURKE Jack | 67 |
| 17 | VANDALE Danick | 63 |
| 20 | ROBERGE Adam | 72 |