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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEÑALVER Manuel | 67 |
| 2 | GROSU Eduard-Michael | 68 |
| 3 | SALBY Alexander | 68 |
| 4 | FERNÁNDEZ Miguel Ángel | 78 |
| 7 | VIVIANI Attilio | 69 |
| 9 | PEÑUELA Francisco Joel | 56 |
| 12 | MULUBRHAN Henok | 60 |
| 13 | ZANONCELLO Enrico | 64 |
| 14 | SEYFOLLAHIFARD Hasan | 76 |
| 15 | VAHTRA Norman | 85 |
| 16 | PRONSKIY Vadim | 58 |
| 17 | GIDICH Yevgeniy | 69 |
| 18 | KYFFIN Zeb | 72 |
| 19 | LAAS Martin | 76 |