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 = 1.7 * weight - 78
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WACKERMANN Luca | 68 |
| 3 | TATARINOV Gennadiy | 67 |
| 4 | FONZI Giuseppe | 63 |
| 10 | TIZZA Marco | 58 |
| 15 | HIRT Jan | 62 |
| 22 | LANDER Sebastian | 70 |
| 30 | STERBINI Luca | 72 |
| 43 | CHAVANNE Gabriel | 83 |
| 56 | SUTER Gaël | 70 |
| 69 | DVORSKY David | 64 |
| 70 | DE MESMAEKER Kevin | 68 |
| 134 | DRAPERI Matteo | 70 |