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 + 14
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELISSONDE Kenny | 52 |
| 2 | BENNETT George | 58 |
| 3 | DOMBROWSKI Joe | 68 |
| 4 | SHALUNOV Evgeny | 70 |
| 5 | BARDET Romain | 65 |
| 10 | MCCARTHY Jay | 63 |
| 11 | KOCH Michel | 69 |
| 12 | DOMONT Axel | 65 |
| 15 | RATHE Jacob | 74 |
| 17 | BIZKARRA Mikel | 53 |
| 19 | STEELS Stijn | 78 |
| 22 | CHEVRIER Clément | 56 |
| 23 | WARBASSE Larry | 67 |
| 26 | CHERNETSKI Sergei | 63 |
| 28 | KERN Julian | 65 |
| 29 | DYBALL Benjamin | 63 |
| 30 | COQUARD Bryan | 59 |