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 = 0.3 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BONIFAZIO Leonardo | 63 |
| 4 | ZURLO Federico | 70 |
| 7 | BANASZEK Norbert | 75 |
| 11 | GODRIE Stan | 74 |
| 13 | SAYAR Mustafa | 64 |
| 14 | TSISHKOU Raman | 72 |
| 17 | RITZINGER Felix | 80 |
| 19 | FILUTÁS Viktor | 68 |
| 21 | HRINKOW Dominik | 61 |
| 24 | HAMMERSCHMID Marvin | 62 |
| 26 | UMHALLER Thomas | 64 |
| 27 | GÖTZINGER Valentin | 71 |
| 28 | PAWLAK Tobiasz | 81 |
| 32 | PEGORARO Matteo Gino | 74 |
| 34 | ARROYAVE Daniel | 68 |
| 35 | SHEMETAU Mikhail | 79 |