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 = -0.5 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ACKERMANN Pascal | 78 |
| 2 | LAUK Karl Patrick | 69 |
| 4 | KURBATOV Alexey | 73 |
| 6 | FRANZ Marcel | 62 |
| 10 | VAHTRA Norman | 85 |
| 12 | ABRAHAMSEN Jonas | 78 |
| 15 | LAŠINIS Venantas | 69 |
| 19 | TRÆEN Torstein | 63 |
| 20 | RAMANAU Raman | 68 |
| 21 | BANASZEK Alan | 75 |
| 24 | CHERHAL Corentin | 60 |
| 25 | ANIOŁKOWSKI Stanisław | 68 |
| 26 | BANASZEK Norbert | 75 |
| 27 | STOSZ Patryk | 70 |
| 31 | PALUTA Michał | 65 |
| 32 | MATHIS Marco | 71 |