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 = 0.6 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BETANCUR Carlos | 60 |
| 2 | VOGONDY Nicolas | 62 |
| 4 | FEILLU Brice | 69 |
| 5 | ROLLAND Pierre | 70 |
| 6 | LEUKEMANS Björn | 67 |
| 7 | GUILLOU Florian | 71 |
| 8 | BIDEAU Jean-Marc | 73 |
| 9 | BERTHOU Eric | 72 |
| 10 | MORTENSEN Martin | 70 |