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 = 0.7 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORIONI Claudio | 67 |
| 3 | BRAJKOVIČ Janez | 60 |
| 4 | STRGAR Matic | 62 |
| 6 | POZZOVIVO Domenico | 53 |
| 7 | JANIACZYK Błażej | 68 |
| 10 | SCOGNAMIGLIO Carlo | 67 |
| 12 | DE BONIS Francesco | 66 |
| 15 | BOLE Grega | 69 |
| 17 | WESTPHAL Carlo | 75 |
| 19 | DYUDYA Volodymyr | 80 |
| 20 | KOCJAN Jure | 72 |
| 21 | DIETZIKER Andreas | 67 |
| 24 | FRANZOI Enrico | 70 |