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 = -0.4 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURPHY John | 81 |
| 2 | HAEDO Lucas Sebastián | 64 |
| 4 | SMITH Dion | 67 |
| 5 | BOIVIN Guillaume | 78 |
| 9 | WHITE Bradley | 77 |
| 13 | ALZATE Carlos | 74 |
| 16 | SKUJIŅŠ Toms | 70 |
| 17 | ROTH Ryan | 70 |
| 18 | DISERA Peter | 71 |
| 21 | CHALAPUD Robinson | 63 |
| 24 | PERRY Benjamin | 71 |
| 26 | DHAENE Brecht | 73 |