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 - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAMILTON Tyler | 65 |
| 2 | STREEL Marc | 69 |
| 3 | VANDE VELDE Christian | 69 |
| 4 | HRUŠKA Jan | 62 |
| 6 | MEINERT-NIELSEN Peter | 73 |
| 7 | NEWTON Christopher | 69 |
| 8 | HVASTIJA Martin | 75 |
| 9 | SØRENSEN Rolf | 70 |
| 10 | PIIL Jakob Storm | 65 |
| 11 | HØJ Frank | 80 |