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 = 0.3 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Emiel | 69 |
| 2 | KACZMAREK Jakub | 66 |
| 3 | MENTEN Milan | 68 |
| 5 | ZAHÁLKA Matěj | 73 |
| 7 | NEILANDS Krists | 69 |
| 9 | HERMANS Quinten | 62 |
| 10 | MERTZ Rémy | 70 |
| 12 | AERTS Toon | 72 |
| 14 | CLEPPE Nicolas | 66 |
| 16 | SHAW James | 63 |
| 17 | LATOŃ Eryk | 76 |
| 20 | SIPOS Marek | 65 |
| 21 | BANASZEK Adrian | 79 |
| 26 | FIORILLO Giuseppe | 58 |
| 29 | KRIGBAUM Mathias | 79 |
| 30 | PALUTA Michał | 65 |
| 31 | WOUTERS Enzo | 75 |