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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKUJIŅŠ Toms | 70 |
| 2 | PICHON Laurent | 69 |
| 3 | CALMEJANE Lilian | 70 |
| 4 | JEANNESSON Arnold | 65 |
| 5 | BUSATO Matteo | 67 |
| 6 | VIVIANI Elia | 67 |
| 7 | ROSÓN Jaime | 62 |
| 8 | MALUCELLI Matteo | 68 |
| 9 | CANOLA Marco | 66 |
| 10 | SEPÚLVEDA Eduardo | 59 |
| 11 | BERNAL Egan | 60 |
| 12 | SISR František | 72 |
| 13 | POZDNYAKOV Kirill | 67 |
| 14 | GIBBONS Ryan | 70 |
| 15 | FORTIN Filippo | 78 |