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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLIER Tim | 76 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | DAINESE Alberto | 70 |
| 4 | MOLANO Juan Sebastián | 72 |
| 5 | ZINGLE Axel | 67 |
| 6 | FEDOROV Yevgeniy | 80 |
| 7 | VAN DIJKE Mick | 74 |
| 8 | NARVÁEZ Jhonatan | 65 |
| 9 | KIELICH Timo | 73 |
| 10 | ALBANESE Vincenzo | 70 |
| 11 | JORGENSON Matteo | 69 |
| 12 | WALSCHEID Max | 90 |
| 13 | SHEFFIELD Magnus | 73 |