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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KRISTENSEN Lennie | 70 |
| 3 | FERRARA Raffaele | 60 |
| 6 | LIESE Thomas | 75 |
| 8 | ALDAG Rolf | 75 |
| 10 | CASAROTTO Davide | 74 |
| 11 | REISS Andris | 73 |
| 12 | CHRISTENSEN Bekim Leif | 66 |
| 13 | ROBERTS Luke | 71 |
| 14 | CARLSTRÖM Kjell | 70 |
| 15 | POITSCHKE Enrico | 73 |
| 16 | MAGNANI Marco | 64 |
| 17 | DREW Jamie Peter | 72 |
| 19 | SCHOLZ Ronny | 60 |
| 23 | SCHILLINGER Andreas | 72 |
| 24 | KOPP David | 68 |