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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Simon | 58 |
| 2 | DE BUYST Jasper | 72 |
| 3 | DOULL Owain | 71 |
| 6 | PORTER Elliott | 73 |
| 8 | DE PAUW Moreno | 72 |
| 10 | DE GENDT Aimé | 75 |
| 12 | LAVERACK Edward | 62 |
| 16 | CATAFORD Alexander | 70 |