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 = 34.7 * weight - 1668
This means that on average for every extra kilogram weight a rider loses 34.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MENGIN Christophe | 68 |
| 4 | DJAVANIAN Viatcheslav | 64 |
| 5 | BOVEN Jan | 65 |
| 8 | KODANIPORK Raido | 69 |
| 990 | PADRNOS Pavel | 81 |
| 990 | BROŻYNA Tomasz | 65 |
| 990 | MICKIEWICZ Jacek | 74 |
| 990 | BARANOWSKI Dariusz | 68 |
| 990 | DUMA Vladimir | 64 |
| 990 | CHMIELEWSKI Piotr | 72 |
| 990 | WADECKI Piotr | 70 |
| 990 | BOCHKOV Alexander | 67 |
| 990 | ORIOL Vyaceslav | 71 |
| 990 | BONCIUCOV Igor | 66 |
| 990 | IVANOV Ruslan | 71 |