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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUGELS Lennert | 64 |
| 2 | LATOUR Pierre | 66 |
| 3 | GEARY Dillon | 71 |
| 5 | MAYER Alexandre | 64 |
| 6 | ROLLAND Brieuc | 59 |
| 7 | REINDERINK Pepijn | 67 |
| 8 | VERVENNE Jonathan | 72 |
| 9 | MANIZABAYO Eric | 72 |
| 12 | SIMON Julien | 65 |
| 13 | GOLLIKER Joshua | 67 |