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 = 0.8 * weight - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOBERNYAK Evgeny | 59 |
| 2 | MAS Enric | 61 |
| 3 | MORTIER Julien | 66 |
| 4 | BICO Nuno | 64 |
| 5 | NEILANDS Krists | 69 |
| 6 | KUKRLE Michael | 73 |
| 8 | LAŠINIS Venantas | 69 |
| 9 | SCHREURS Hamish | 69 |
| 10 | RIKUNOV Petr | 71 |
| 11 | SYKALA Wojciech | 72 |
| 12 | CHERKASOV Nikolay | 68 |
| 13 | REKITA Szymon | 70 |
| 16 | SOBALLA Carl | 71 |