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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SØRENSEN Nicki | 71 |
| 2 | JOHANSEN Allan | 78 |
| 3 | HAMBURGER Bo | 58 |
| 4 | RASMUSSEN Michael | 58 |
| 5 | HØJ Frank | 80 |
| 6 | MICHAELSEN Lars | 79 |
| 7 | BRESCHEL Matti | 70 |
| 14 | BLAUDZUN Michael | 66 |
| 16 | JØRGENSEN René | 60 |
| 17 | REIHS Michael | 75 |
| 19 | VANDBORG Brian Bach | 75 |
| 20 | PIIL Jakob Storm | 65 |
| 23 | KLOSTERGAARD Kasper | 69 |