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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HULGAARD Morten | 73 |
| 2 | GERTS Floris | 71 |
| 3 | PRICE-PEJTERSEN Johan | 83 |
| 4 | VAN BREUSSEGEM Elias | 68 |
| 5 | BOUTS Jordy | 62 |
| 7 | NAUDTS Thomas | 60 |
| 8 | PAGE Dylan | 64 |
| 11 | MCDUNPHY Conn | 70 |