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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAK Lars Ytting | 76 |
| 2 | MICHAELSEN Lars | 79 |
| 3 | BRESCHEL Matti | 70 |
| 4 | HØJ Frank | 80 |
| 6 | KLOSTERGAARD Kasper | 69 |
| 7 | SØRENSEN Chris Anker | 64 |
| 9 | JØRGENSEN René | 60 |
| 10 | LUND Anders | 65 |
| 11 | BLAUDZUN Michael | 66 |
| 12 | HAMBURGER Bo | 58 |
| 15 | JOHANSEN Allan | 78 |
| 18 | SØRENSEN Nicki | 71 |
| 20 | MORTENSEN Martin | 70 |