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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERTAZZO Liam | 75 |
| 2 | PACIONI Luca | 67 |
| 3 | PAPOK Siarhei | 76 |
| 4 | BOGDANOVIČS Māris | 68 |
| 6 | BENFATTO Marco | 71 |
| 8 | MALUCELLI Matteo | 68 |
| 9 | GROSU Eduard-Michael | 68 |
| 10 | DE MAAR Marc | 70 |
| 12 | MEYER Cameron | 70 |
| 14 | HUCKER Robbie | 68 |
| 15 | ANDRIATO Rafael | 67 |
| 21 | TSISHKOU Raman | 72 |