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 - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SKUJIŅŠ Toms | 70 |
| 4 | WOODS Michael | 62 |
| 8 | KOCJAN Jure | 72 |
| 11 | ȚVETCOV Serghei | 69 |
| 12 | RATHE Jacob | 74 |
| 13 | MEGÍAS Javier | 63 |
| 15 | SELANDER Bjorn | 72 |
| 16 | ROE Timothy | 66 |
| 18 | TERUEL Eloy | 73 |
| 19 | ROSSKOPF Joey | 74 |
| 21 | KRAGH ANDERSEN Asbjørn | 72 |
| 25 | SMITH Dion | 67 |
| 26 | CARLSEN Kirk | 68 |