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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNATI Daniele | 71 |
| 2 | VISCONTI Giovanni | 63 |
| 3 | MARCATO Marco | 67 |
| 4 | MASCIARELLI Simone | 63 |
| 6 | ERMETI Giairo | 60 |
| 7 | ANZÀ Santo | 58 |
| 11 | MUGERLI Matej | 68 |
| 12 | HAMBURGER Bo | 58 |
| 13 | DI GRANDE Giuseppe | 58 |
| 14 | MASCIARELLI Andrea | 61 |
| 16 | SIUTSOU Kanstantsin | 68 |
| 17 | KAIRELIS Dainius | 63 |
| 18 | NIEMIEC Przemysław | 62 |
| 19 | GIORDANI Leonardo | 68 |
| 20 | GRIVKO Andrey | 70 |