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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AYUSO Juan | 65 |
| 2 | GANNA Filippo | 83 |
| 3 | MILAN Jonathan | 87 |
| 4 | VERNON Ethan | 74 |
| 5 | ČERNÝ Josef | 75 |
| 6 | WÆRENSKJOLD Søren | 92 |
| 7 | TIBERI Antonio | 62 |
| 8 | VAUQUELIN Kévin | 69 |
| 9 | VINGEGAARD Jonas | 58 |
| 10 | GRÉGOIRE Romain | 64 |