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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SHAW James | 63 |
| 4 | MORTENSEN Martin | 70 |
| 5 | PELLAUD Simon | 70 |
| 7 | O'MAHONY Darragh | 69 |
| 8 | GOOSSENS Kobe | 64 |
| 9 | PATERSKI Maciej | 73 |
| 11 | VAN DALEN Jason | 70 |
| 13 | LARSÉN Richard | 82 |
| 14 | SCHORMAIR Fabian | 64 |
| 15 | WÆRENSKJOLD Søren | 92 |
| 17 | LECAMUS-LAMBERT Florentin | 79 |