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 * weight + 664
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | DJAVANIAN Viatcheslav | 64 |
3 | PADRNOS Pavel | 81 |
4 | BARANOWSKI Dariusz | 68 |
5 | DUMA Vladimir | 64 |
9 | MENGIN Christophe | 68 |
990 | BROŻYNA Tomasz | 65 |
990 | BOVEN Jan | 65 |
990 | MICKIEWICZ Jacek | 74 |
990 | CHMIELEWSKI Piotr | 72 |
990 | WADECKI Piotr | 70 |
990 | BOCHKOV Alexander | 67 |
990 | ORIOL Vyaceslav | 71 |
990 | KODANIPORK Raido | 69 |
990 | BONCIUCOV Igor | 66 |
990 | IVANOV Ruslan | 71 |