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 = 1.3 * weight - 29
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FERRARI Roberto | 73 |
| 4 | BOLE Grega | 69 |
| 10 | ZEITS Andrey | 73 |
| 12 | STRGAR Matic | 62 |
| 32 | BISOLTI Alessandro | 58 |
| 38 | SHPILEVSKY Boris | 78 |
| 40 | BUTS Vitaliy | 68 |
| 47 | AAEN JØRGENSEN Jonas | 63 |
| 59 | HANSEN Adam | 72 |
| 86 | VREČER Robert | 68 |
| 117 | DE MARCHI Alessandro | 65 |
| 123 | VALACH Ján | 75 |
| 126 | GODDAERT Kristof | 72 |
| 135 | TLEUBAYEV Ruslan | 70 |