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 | GEOGHEGAN HART Tao | 65 |
| 2 | POWLESS Neilson | 67 |
| 3 | KUSS Sepp | 61 |
| 4 | BURKE Jack | 67 |
| 5 | BARTA Will | 61 |
| 7 | GUERREIRO Ruben | 65 |
| 13 | OIEN Justin | 68 |
| 14 | PERRY Benjamin | 71 |
| 15 | OWEN Logan | 67 |
| 16 | WILLIAMS Tyler | 73 |
| 17 | VANDALE Danick | 63 |