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 = -0.9 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILESI Lorenzo | 70 |
| 2 | FREDHEIM Stian | 72 |
| 3 | SEGAERT Alec | 79 |
| 4 | PLOWRIGHT Jensen | 80 |
| 6 | PALENI Enzo | 65 |
| 8 | VAN HEMELEN Vincent | 71 |
| 9 | MARSMAN Tim | 75 |
| 10 | WATSON Samuel | 68 |
| 11 | FLYNN Sean | 67 |
| 12 | LE HUITOUZE Eddy | 71 |
| 14 | KLUCKERS Arthur | 71 |
| 15 | CLAEYS Arno | 72 |
| 17 | KELEMEN Petr | 70 |
| 20 | WILLEMS Jago | 64 |
| 21 | CLAEYS Robbe | 68.5 |
| 26 | BRUN Nils | 64 |