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 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAAS Nathan | 71 |
| 2 | CANOLA Marco | 66 |
| 3 | PELLAUD Simon | 70 |
| 4 | SAVINI Daniel | 58 |
| 5 | WOODS Michael | 62 |
| 6 | THOMAS Benjamin | 68 |
| 7 | MARTENS Paul | 69 |
| 8 | VLASOV Aleksandr | 68 |
| 9 | HOLMES Matthew | 67 |
| 10 | KELDERMAN Wilco | 65 |
| 11 | EENKHOORN Pascal | 72 |
| 12 | ZARDINI Edoardo | 62 |
| 13 | MASNADA Fausto | 65 |
| 14 | PERNSTEINER Hermann | 55 |
| 15 | ORSINI Umberto | 67 |
| 16 | CLAEYS Dimitri | 77 |