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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOLARD Rudy | 62 |
| 3 | BARLE Florent | 72 |
| 4 | COUSIN Jérôme | 74 |
| 5 | LEBAS Thomas | 65 |
| 6 | MONCOUTIÉ David | 69 |
| 7 | BERTHOU Eric | 72 |
| 8 | CHERNETSKI Sergei | 63 |
| 9 | DURET Sébastien | 62 |
| 10 | CHAVANNE Gabriel | 83 |