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 + 55
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRADDOCK Lawson | 69 |
| 2 | MARENGO Umberto | 69 |
| 3 | HERMANS Ben | 72 |
| 4 | MCCABE Travis | 72 |
| 5 | MURPHY Kyle | 67 |
| 6 | EG Niklas | 60 |
| 7 | ÁVILA Edwin | 61 |
| 8 | ALMEIDA João | 63 |
| 9 | SWIRBUL Keegan | 65 |
| 11 | PICCOLI James | 65 |
| 12 | ZIMMER Matt | 68 |
| 13 | SCHÖNBERGER Sebastian | 64 |
| 14 | DOMBROWSKI Joe | 68 |
| 15 | CANOLA Marco | 66 |
| 16 | BADILATTI Matteo | 62 |
| 17 | FORTUNATO Lorenzo | 57 |
| 21 | BOWDEN Scott | 65 |