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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VIVIANI Elia | 67 |
| 2 | VANMARCKE Sep | 77 |
| 3 | GAMPER Patrick | 80 |
| 4 | LOWNDES Jason | 82 |
| 5 | KOROŠEC Rok | 75 |
| 6 | REGUIGUI Youcef | 69 |
| 7 | PORSEV Alexander | 80 |
| 8 | VENTURINI Clément | 60 |
| 10 | RABITSCH Stephan | 69 |
| 11 | GIBBONS Ryan | 70 |
| 12 | HOWES Alex | 61 |
| 13 | SMUKULIS Gatis | 72 |
| 14 | FENN Andrew | 79 |
| 15 | KUSZTOR Péter | 61 |