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 + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LADAGNOUS Matthieu | 73 |
| 2 | CARDOSO Filipe | 70 |
| 3 | ROLLAND Pierre | 70 |
| 4 | COPPEL Jérôme | 64 |
| 5 | TSCHOPP Johann | 62 |
| 6 | SOKOLOV Evgeny | 70 |
| 8 | CARDOSO Manuel Antonio Leal | 70 |
| 9 | LE FLOCH Guillaume | 67 |
| 10 | ROUX Anthony | 73 |