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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCABE Travis | 72 |
| 2 | CANOLA Marco | 66 |
| 7 | POWLESS Neilson | 67 |
| 8 | MORTON Lachlan | 62 |
| 9 | MURPHY Kyle | 67 |
| 10 | CATAFORD Alexander | 70 |
| 11 | ORONTE Emerson | 65 |
| 12 | HAEDO Lucas Sebastián | 64 |
| 13 | PATE Danny | 73 |
| 16 | OIEN Justin | 68 |
| 18 | GEOGHEGAN HART Tao | 65 |
| 21 | HARTIG Evan | 77 |
| 22 | BRAJKOVIČ Janez | 60 |
| 23 | KUSS Sepp | 61 |
| 24 | CLARKE Jonathan | 68 |