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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANDSTØD Michael | 74 |
| 2 | BLAUDZUN Michael | 66 |
| 3 | HAMBURGER Bo | 58 |
| 4 | PIIL Jakob Storm | 65 |
| 5 | MICHAELSEN Lars | 79 |
| 7 | HØJ Frank | 80 |
| 13 | JOHANSEN Allan | 78 |
| 14 | BAK Lars Ytting | 76 |
| 21 | VANDBORG Brian Bach | 75 |