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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLAUDZUN Michael | 66 |
| 2 | VANDBORG Brian Bach | 75 |
| 3 | BAK Lars Ytting | 76 |
| 4 | SØRENSEN Nicki | 71 |
| 8 | CHRISTENSEN Mads | 69 |
| 9 | RASMUSSEN Alex | 88 |
| 10 | HØJ Frank | 80 |
| 13 | MORTENSEN Martin | 70 |
| 34 | LUND Anders | 65 |