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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROßSCHARTNER Felix | 64 |
| 2 | GAMPER Patrick | 80 |
| 4 | RITZINGER Felix | 80 |
| 5 | KABAS Maximilian | 60 |
| 7 | VERMEULEN Moran | 67 |
| 9 | BAYER Tobias | 71 |
| 10 | TICHLER Thomas | 66 |
| 13 | HOPFGARTNER Paul | 63 |
| 14 | LIFKA Sebastian | 73 |