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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 2 | WIPPERT Wouter | 75 |
| 3 | GROENEWEGEN Dylan | 70 |
| 4 | COQUARD Bryan | 59 |
| 6 | VERSCHOOR Martijn | 74.5 |
| 7 | BONIFAZIO Niccolò | 72 |
| 8 | GUERREIRO Ruben | 65 |
| 10 | BOONEN Tom | 82 |
| 11 | HENTTALA Joonas | 73 |
| 12 | DRUCKER Jempy | 75 |
| 13 | MURPHY John | 81 |
| 14 | RATHE Jacob | 74 |