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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAMOS Philipp | 72 |
| 6 | BOILY David | 60 |
| 7 | SELANDER Bjorn | 72 |
| 8 | MCCARTY Jonathan Patrick | 68 |
| 9 | BUSCHE Matthew | 69 |
| 13 | METLUSHENKO Yuri | 82 |
| 17 | SUMMERHILL Daniel | 70 |
| 19 | FAIRLY Caleb | 60 |
| 20 | BEWLEY Sam | 81 |
| 22 | HEGYVARY Adrian | 78 |
| 28 | LEA Bobby | 77 |
| 29 | BELL Zach | 75 |