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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURPHY John | 81 |
| 2 | JANS Roy | 68 |
| 3 | MALDONADO Anthony | 57 |
| 4 | BOL Cees | 83 |
| 6 | KAMP Alexander | 74 |
| 7 | MERTENS Julian | 67 |
| 8 | OLIVEIRA Rui | 66 |
| 9 | KRAGH ANDERSEN Asbjørn | 72 |
| 10 | ZOIDL Riccardo | 63 |
| 11 | KRIEGER Alexander | 71 |
| 12 | GUÉGAN Maël | 71 |
| 13 | MARCHAND Gianni | 61 |