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 = 21.1 * weight - 1387
This means that on average for every extra kilogram weight a rider loses 21.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILAN Jonathan | 87 |
| 2 | PHILIPSEN Jasper | 75 |
| 3 | ZINGLE Axel | 67 |
| 4 | GROENEWEGEN Dylan | 70 |
| 5 | PENHOËT Paul | 64 |
| 6 | THIJSSEN Gerben | 74 |
| 7 | TRENTIN Matteo | 74 |
| 8 | VIVIANI Elia | 67 |
| 9 | BOMBOI Davide | 72 |
| 10 | GARCÍA CORTINA Iván | 77 |
| 991 | MERLIER Tim | 76 |
| 991 | VERMEERSCH Florian | 81 |