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 = 0.3 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARINI Nicolas | 72 |
| 3 | MUDGWAY Luke | 65 |
| 4 | BENFATTO Marco | 71 |
| 8 | STACCHIOTTI Riccardo | 70 |
| 13 | WANG Meiyin | 70 |
| 14 | PAPOK Siarhei | 76 |
| 15 | MARTINS Uri | 70 |
| 16 | LUNARDON Paolo | 77 |
| 18 | VASILYEV Maksym | 70 |
| 21 | RASMUSSEN Alex | 88 |
| 23 | LIEPIŅŠ Emīls | 67 |
| 24 | BAZHKOU Stanislau | 65 |
| 25 | BANI Eugenio | 72 |
| 26 | MERSEBURG Dominik | 75 |