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 = 1.5 * weight - 84
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANDSTØD Michael | 74 |
| 2 | SKIBBY Jesper | 70 |
| 4 | BLAUDZUN Michael | 66 |
| 5 | PIIL Jakob Storm | 65 |
| 6 | MEINERT-NIELSEN Peter | 73 |
| 9 | SØRENSEN Nicki | 71 |
| 31 | BAK Lars Ytting | 76 |
| 58 | CHRISTENSEN Bekim Leif | 66 |
| 61 | JØRGENSEN Per Sandahl | 78 |