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 = -0.4 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | LAUK Andres | 77 |
| 20 | TANKINK Bram | 71 |
| 22 | MOURIS Jens | 91 |
| 27 | MAASIKMETS Alges | 67 |
| 31 | SCHEP Peter | 80 |
| 39 | CORDES Tom | 70 |
| 40 | CARLSTRÖM Kjell | 70 |
| 41 | NEWTON Christopher | 69 |
| 48 | SENTJENS Roy | 75 |
| 55 | VENEBERG Thorwald | 75 |
| 56 | DEKKERS Hans | 72 |
| 62 | COLLINELLI Andrea | 77 |
| 75 | MANNING Paul | 76 |