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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIIS Bjarne | 71 |
| 2 | OLANO Abraham | 70 |
| 4 | GARMENDIA Aitor | 68 |
| 5 | JALABERT Laurent | 66 |
| 6 | TETERIOUK Andrei | 72 |
| 7 | TOTSCHNIG Georg | 62 |
| 8 | BÖLTS Udo | 73 |
| 9 | MEIER Roland | 60 |
| 10 | PEÑA Victor Hugo | 65 |