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 = 0.2 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCANDOLARA Valentina | 52 |
| 3 | ANDRUK Alona | 56 |
| 4 | MARTISOVA Julia | 64 |
| 5 | CECCHINI Elena | 52 |
| 7 | HOSKINS Melissa | 64 |
| 8 | FRAPPORTI Simona | 63 |
| 15 | JASINSKA Małgorzata | 57 |
| 26 | ZABELINSKAYA Olga | 52 |
| 28 | VYSOTSKA Ievgeniia | 55 |
| 30 | KASHCHYSHYNA Oksana | 53 |
| 33 | LONGO BORGHINI Elisa | 59 |
| 48 | SOSNA Katazyna | 76 |
| 56 | VALSECCHI Silvia | 58 |
| 65 | NEYLAN Rachel | 52 |