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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Mathias | 88 |
| 2 | GHYS Robbe | 72 |
| 3 | BALLABIO Giacomo | 70 |
| 5 | LAMBRECHT Bjorg | 56 |
| 7 | COVI Alessandro | 66 |
| 8 | VANHOUCKE Harm | 65 |
| 9 | CHARMIG Anthon | 66 |
| 11 | THIJSSEN Gerben | 74 |