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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIIS Bjarne | 71 |
| 2 | HØJ Frank | 80 |
| 4 | JOHNSEN Lars Kristian | 70 |
| 7 | HOLM SØRENSEN Brian | 77 |
| 8 | PIIL Jakob Storm | 65 |
| 10 | JØRGENSEN René | 60 |
| 11 | STENERSEN Bjørn | 70 |
| 12 | JOHANSEN Allan | 78 |
| 18 | ARVESEN Kurt-Asle | 74 |
| 21 | CHRISTENSEN Bekim Leif | 66 |