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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAMMEIER Matt | 72 |
| 2 | BOLIVAR Isaac | 64 |
| 4 | KUDUS Merhawi | 58 |
| 6 | CHAVES Esteban | 55 |
| 7 | KRUIJSWIJK Steven | 63 |
| 8 | PHOUNSAVATH Ariya | 67 |
| 9 | IGNATENKO Petr | 63 |
| 10 | JANSE VAN RENSBURG Jacques | 63 |
| 12 | BOBRIDGE Jack | 65 |
| 13 | ZILIOLI Gianfranco | 61 |
| 14 | MONSALVE Yonathan | 62 |
| 15 | CLARKE Jonathan | 68 |
| 18 | QUINTERO Carlos | 63 |
| 19 | WHITE Bradley | 77 |
| 20 | ASADOV Elchin | 77 |
| 21 | GOH Choon Huat | 54 |