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 - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAAS Christian | 60 |
| 2 | ROTA Lorenzo | 62 |
| 3 | SIMION Paolo | 79 |
| 4 | HUPPERTZ Joshua | 66 |
| 8 | ABRAHAMSEN Jonas | 78 |
| 9 | KESSLER Robert | 78 |
| 11 | MAESTRI Mirco | 73 |
| 12 | RIES Michel | 67 |
| 13 | FROIDEVAUX Robin | 71 |