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 = 1.2 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | RASCH Gabriel | 72 |
| 17 | TRAKSEL Bobbie | 72 |
| 19 | SINKEWITZ Patrik | 63 |
| 27 | KAGGESTAD Mads | 66 |
| 28 | DION Renaud | 65 |
| 33 | LE MÉVEL Christophe | 61 |
| 46 | BAUMANN Eric | 72 |
| 49 | BECKE Daniel | 75 |
| 64 | DEKKERS Hans | 72 |