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 - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCGEE Bradley | 72 |
| 2 | LE BOULANGER Yoann | 70 |
| 3 | HASELBACHER René | 69 |
| 4 | WROLICH Peter | 68 |
| 5 | TRAMPUSCH Gerhard | 60 |
| 6 | TESSIER Jean-Michel | 70 |
| 7 | CLINGER David | 77 |
| 8 | PATE Danny | 73 |
| 9 | HEGREBERG Morten | 72 |
| 10 | RENIER Franck | 69 |