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 = 1.6 * weight - 97
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHYSELINCK Jan | 74 |
| 2 | SICARD Romain | 63 |
| 4 | LODEWYCK Klaas | 70 |
| 9 | DOCKX Gert | 64 |
| 10 | BAJC Andi | 65 |
| 11 | JOSEPH Gregory | 67 |
| 15 | DRON Boris | 72 |
| 16 | REZA Kévin | 71 |
| 17 | LAMOISSON Morgan | 69 |
| 20 | NAULEAU Bryan | 67 |
| 60 | PIETERS Sibrecht | 73 |