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 = -25.6 * weight + 2306
This means that on average for every extra kilogram weight a rider loses -25.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | TRINKLER Richard | 67 |
3 | VAN DER POEL Adrie | 70 |
4 | VANDERAERDEN Eric | 74 |
6 | LILHOLT Søren | 72 |
7 | BAUER Steve | 72 |
990 | NIJDAM Jelle | 70 |
990 | FIGNON Laurent | 67 |
990 | KUIPER Hennie | 69 |
990 | DE ROOIJ Theo | 69 |
990 | PEETERS Wilfried | 76 |