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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KENNAUGH Peter | 66 |
| 2 | SWIFT Ben | 69 |
| 3 | BONGIORNO Francesco Manuel | 56 |
| 4 | MORI Manuele | 62 |
| 5 | CARUSO Damiano | 67 |
| 7 | CATALDO Dario | 64 |
| 8 | SPRENGERS Thomas | 60 |
| 9 | PANTANO Jarlinson | 61 |
| 10 | CECCHIN Alberto | 70 |
| 11 | PELLIZOTTI Franco | 64 |
| 12 | PASQUALON Andrea | 75 |
| 14 | BARBIN Enrico | 60 |