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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Casper | 71 |
| 2 | BOUHANNI Nacer | 65 |
| 3 | MAITRE Florian | 71 |
| 4 | BAUHAUS Phil | 75 |
| 5 | LAPORTE Christophe | 76 |
| 6 | BOUDAT Thomas | 70 |
| 7 | BRESCHEL Matti | 70 |
| 8 | CARBEL Michael | 73 |
| 9 | BREGNHØJ Mathias | 63 |
| 11 | ASSELMAN Jesper | 69 |
| 12 | DEGENKOLB John | 82 |
| 13 | REINDERS Elmar | 78.1 |
| 14 | PEDERSEN Mads | 76 |
| 15 | KRIGBAUM Mathias | 79 |