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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOULL Owain | 71 |
| 2 | KAMP Alexander | 74 |
| 3 | MEISEN Marcel | 62 |
| 4 | MERLIER Tim | 76 |
| 5 | PAGE Dylan | 64 |
| 6 | KRIEGER Alexander | 71 |
| 7 | CARDIS Romain | 72 |
| 8 | JAUN Lukas | 66 |
| 9 | VERMEERSCH Gianni | 68 |
| 11 | CECCHIN Alberto | 70 |
| 13 | CALMEJANE Lilian | 70 |
| 15 | BAJC Andi | 65 |