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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANDSTØD Michael | 74 |
| 2 | KRISTENSEN Lennie | 70 |
| 3 | BLAUDZUN Michael | 66 |
| 5 | HØJ Frank | 80 |
| 6 | CHRISTENSEN Bekim Leif | 66 |
| 14 | BAK Lars Ytting | 76 |
| 16 | VANDBORG Brian Bach | 75 |
| 47 | MØLLER Claus Michael | 70 |