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 - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDMONDSON Joshua | 62 |
| 3 | BYSTRØM Sven Erik | 73 |
| 5 | ČERNÝ Josef | 75 |
| 6 | TEUNISSEN Mike | 73 |
| 7 | ZEPUNTKE Ruben | 76 |
| 8 | KRAGH ANDERSEN Asbjørn | 72 |
| 10 | BOONS Ruben | 85 |
| 14 | HOELGAARD Daniel | 77 |
| 15 | VALGREN Michael | 71 |
| 16 | LUTSENKO Alexey | 74 |
| 19 | MOSER Ignazio | 88 |
| 22 | COUTINHO Leonel | 68 |