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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AHLSSON Jonathan | 57 |
| 2 | LOVIDIUS Edvin | 70 |
| 3 | SÖDERQVIST Jakob | 83 |
| 5 | LENNARTSSON Hugo | 69 |
| 7 | PEDERSEN Eric | 61 |
| 8 | LARSSON David | 73 |
| 10 | LIND Oscar | 73 |
| 13 | STÅLBERG Harald | 69 |
| 19 | FAGERSTRÖM Ludwig | 60 |
| 24 | HOFLUND Albin | 68 |