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 + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALDAPE Moises Antonio | 62 |
| 3 | SAMOILAU Branislau | 77 |
| 5 | POSSONI Morris | 56 |
| 6 | CORIONI Claudio | 67 |
| 7 | POZZOVIVO Domenico | 53 |
| 10 | MARZANO Marco | 58 |
| 12 | PIDGORNYY Ruslan | 72 |
| 13 | RICCÒ Riccardo | 57 |
| 14 | HANSEN Adam | 72 |
| 16 | DE SÁRRAGA Mario | 69 |
| 20 | SALERNO Cristiano | 64 |
| 25 | SIUTSOU Kanstantsin | 68 |