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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FREDHEIM Stian | 72 |
| 3 | SEGAERT Alec | 79 |
| 5 | RAFFERTY Darren | 65 |
| 6 | LE HUITOUZE Eddy | 71 |
| 7 | KRAMER Jesse | 74 |
| 8 | VAN HAUTEGEM Leander | 64 |
| 9 | SIMMONS Colby | 68 |
| 10 | KONINGS Roan | 69 |
| 11 | KÄRSTEN Moritz | 75 |
| 13 | HARTEEL Jelle | 66 |
| 14 | SCHRETTL Marco | 63 |
| 17 | ROUMEN Finn | 61 |
| 19 | POMORSKI Michał | 76 |