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 + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWTON Christopher | 69 |
| 4 | MATYSIAK Bartłomiej | 71 |
| 6 | HEGREBERG Morten | 72 |
| 14 | POWER Ciarán | 68 |
| 18 | FRIEDMAN Michael | 82 |
| 19 | PATE Danny | 73 |
| 20 | FOX Morgan | 70 |
| 30 | O'LOUGHLIN David | 68 |
| 43 | EUSER Lucas | 56 |
| 50 | IRVINE Martyn | 80 |