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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANDSTØD Michael | 74 |
| 2 | GUIDI Fabrizio | 73 |
| 5 | MCEWEN Robbie | 67 |
| 6 | OZERS Kaspars | 73 |
| 8 | MICHAELSEN Lars | 79 |
| 9 | SØRENSEN Rolf | 70 |
| 10 | HOLM SØRENSEN Brian | 77 |
| 12 | RIIS Bjarne | 71 |
| 13 | JØRGENSEN René | 60 |