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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 2 | BERTOLINI Alessandro | 63 |
| 3 | RUBIERA José Luis | 69 |
| 4 | DJAVANIAN Viatcheslav | 64 |
| 5 | HEULOT Stéphane | 69 |
| 6 | CHIAPPUCCI Claudio | 67 |
| 7 | SØRENSEN Rolf | 70 |
| 8 | VASSEUR Cédric | 70 |
| 9 | ZARRABEITIA Mikel | 63 |
| 10 | HINAULT Sébastien | 63 |