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 + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FRIEDMAN Michael | 82 |
| 6 | NEWTON Christopher | 69 |
| 9 | HEGREBERG Morten | 72 |
| 11 | O'LOUGHLIN David | 68 |
| 18 | EUSER Lucas | 56 |
| 25 | MURPHY John | 81 |
| 27 | OLIPHANT Evan | 66 |
| 34 | PATE Danny | 73 |
| 44 | FOX Morgan | 70 |