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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PALUTA Michał | 65 |
| 3 | BROŻYNA Piotr | 71 |
| 4 | ANIOŁKOWSKI Stanisław | 68 |
| 5 | GRABIS Mateusz | 75 |
| 6 | KASPERKIEWICZ Przemysław | 71 |
| 7 | MAŁECKI Kamil | 69 |
| 8 | SOWINSKI Artur | 63 |
| 9 | BANASZEK Alan | 75 |
| 10 | REKITA Szymon | 70 |
| 11 | STOSZ Patryk | 70 |
| 15 | SAJNOK Szymon | 75 |
| 18 | SYKALA Wojciech | 72 |
| 19 | SŁAWEK Damian | 73 |
| 20 | KUKLEWICZ Karol | 69 |