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 = -3.1 * weight + 279
This means that on average for every extra kilogram weight a rider loses -3.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | FERRARI Roberto | 73 |
| 14 | TLEUBAYEV Ruslan | 70 |
| 21 | GODDAERT Kristof | 72 |
| 22 | BUTS Vitaliy | 68 |
| 29 | SHPILEVSKY Boris | 78 |
| 42 | ZEITS Andrey | 73 |
| 46 | AAEN JØRGENSEN Jonas | 63 |
| 93 | DE MARCHI Alessandro | 65 |
| 94 | VALACH Ján | 75 |
| 97 | STRGAR Matic | 62 |
| 99 | VREČER Robert | 68 |
| 110 | BISOLTI Alessandro | 58 |
| 118 | HANSEN Adam | 72 |
| 149 | BOLE Grega | 69 |