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 = 0.4 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PADRNOS Pavel | 81 |
| 5 | BROŻYNA Tomasz | 65 |
| 6 | MENGIN Christophe | 68 |
| 10 | BARANOWSKI Dariusz | 68 |
| 11 | WADECKI Piotr | 70 |
| 19 | DJAVANIAN Viatcheslav | 64 |
| 21 | BOVEN Jan | 65 |
| 24 | BOCHKOV Alexander | 67 |
| 31 | KODANIPORK Raido | 69 |
| 34 | DUMA Vladimir | 64 |
| 57 | BONCIUCOV Igor | 66 |
| 60 | ORIOL Vyaceslav | 71 |
| 64 | IVANOV Ruslan | 71 |
| 67 | MICKIEWICZ Jacek | 74 |