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 = 1.1 * weight - 32
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | AAEN JØRGENSEN Jonas | 63 |
| 13 | STRGAR Matic | 62 |
| 15 | ZEITS Andrey | 73 |
| 22 | SHPILEVSKY Boris | 78 |
| 32 | HANSEN Adam | 72 |
| 34 | BUTS Vitaliy | 68 |
| 36 | DE MARCHI Alessandro | 65 |
| 45 | VALACH Ján | 75 |
| 46 | BISOLTI Alessandro | 58 |
| 51 | GODDAERT Kristof | 72 |
| 59 | VREČER Robert | 68 |
| 77 | BOLE Grega | 69 |
| 100 | FERRARI Roberto | 73 |
| 122 | TLEUBAYEV Ruslan | 70 |