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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÜLLE Alex | 72 |
| 2 | PANTANI Marco | 58 |
| 3 | BOARDMAN Chris | 70 |
| 4 | JALABERT Laurent | 66 |
| 6 | DONATI Massimo | 75 |
| 7 | ZARRABEITIA Mikel | 63 |
| 9 | OLANO Abraham | 70 |
| 10 | TONKOV Pavel | 70 |