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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOREAU Francis | 77 |
| 3 | ARMSTRONG Lance | 72 |
| 4 | ANDERSSON Michael | 71 |
| 8 | JONKER Patrick | 69 |
| 9 | SCIANDRI Maximilian | 75 |
| 10 | BLAUDZUN Michael | 66 |
| 11 | YATES Sean | 74 |
| 12 | ANDREU Frankie | 77 |