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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLIER Tim | 76 |
| 2 | DEKKER David | 80 |
| 3 | ZINGLE Axel | 67 |
| 4 | MARIT Arne | 72 |
| 5 | HALVORSEN Kristoffer | 69 |
| 6 | MEIJERS Jeroen | 68 |
| 7 | ACKERMANN Pascal | 78 |
| 8 | ÁLVAREZ Rodrigo | 65 |
| 9 | WALLS Matthew | 72 |
| 11 | SALBY Alexander | 68 |
| 12 | KANTER Max | 68 |
| 13 | SELIG Rüdiger | 80 |