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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBERO Carlos | 66 |
| 2 | PRADES Eduard | 63 |
| 3 | SMITH Dion | 67 |
| 5 | MILÁN Diego | 67 |
| 6 | VERSCHOOR Martijn | 74.5 |
| 7 | KOCJAN Jure | 72 |
| 10 | PLANET Charles | 71 |
| 12 | TXURRUKA Amets | 58 |
| 16 | SKUJIŅŠ Toms | 70 |
| 18 | GUERREIRO Ruben | 65 |