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 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NYBORG BROGE Nils Lau | 75 |
| 2 | GATE Aaron | 71 |
| 3 | MOSCHETTI Matteo | 73 |
| 4 | STEWART Mark | 70 |
| 5 | PRADES Eduard | 63 |
| 6 | PERON Andrea | 70 |
| 7 | MILTIADIS Andreas | 74 |
| 8 | HELLEMOSE Asbjørn | 65 |
| 9 | KUBIŠ Lukáš | 70 |
| 10 | BARONCINI Filippo | 74 |
| 12 | TAGLIANI Filippo | 70 |
| 13 | FOUCHÉ James | 71 |
| 14 | PEDERSEN Rasmus Søjberg | 74 |