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 = 5.2 * weight + 420
This means that on average for every extra kilogram weight a rider loses 5.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | TAFI Andrea | 73 |
2 | DE ROOIJ Theo | 69 |
990 | VANDERAERDEN Eric | 74 |
990 | WAMPERS Jean-Marie | 82 |
990 | NEVENS Jan | 58 |
990 | LILHOLT Søren | 72 |
990 | PEETERS Wilfried | 76 |
990 | DE WILDE Etienne | 70 |
990 | DERNIES Michel | 75 |
990 | VAN DER POEL Adrie | 70 |