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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKUJIŅŠ Toms | 70 |
| 2 | KRAGH ANDERSEN Asbjørn | 72 |
| 3 | SMITH Dion | 67 |
| 4 | ORJUELA Fernando | 60 |
| 7 | MANNION Gavin | 58 |
| 8 | BUDYAK Anatoliy | 53 |
| 12 | BOGDANOVIČS Māris | 68 |
| 15 | RATHE Jacob | 74 |
| 17 | VINK Michael | 73 |