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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HONCHAR Serhiy | 67 |
| 2 | MAIGNAN Gilles | 63 |
| 4 | DURAND Jacky | 76 |
| 5 | BARTOLI Michele | 65 |
| 8 | BOARDMAN Chris | 70 |
| 9 | MCGEE Bradley | 72 |
| 13 | LANGELLA Anthony | 76 |
| 14 | PRZYDZIAŁ Piotr | 80 |
| 16 | BETTINI Paolo | 58 |
| 17 | BASSONS Christophe | 74 |
| 18 | STREEL Marc | 69 |