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 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERKLOTZ Silvio | 68 |
| 3 | HOELGAARD Markus | 74 |
| 4 | POLITT Nils | 80 |
| 9 | DVORSKY David | 64 |
| 11 | SHUMOV Nikolai | 65 |
| 12 | LATOŃ Eryk | 76 |
| 16 | KOISHI Yuma | 62 |
| 21 | MAGER Christian | 60 |
| 23 | GONZÁLEZ Mario | 65 |
| 24 | BAUHAUS Phil | 75 |
| 29 | BARAVIK Valiantsin | 80 |