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 = -1.9 * weight + 178
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEABRA Renato | 67 |
| 5 | NAZARET Magno | 65 |
| 8 | SCHNAIDT Fabian | 70 |
| 20 | AFFONSO Murilo | 63 |
| 21 | HOLLER Nikodemus | 58 |
| 23 | RODAS Manuel | 68 |
| 47 | PANIZO Gregolry | 72 |
| 62 | BULGARELLI Otavio | 69 |
| 63 | DIAZ Daniel | 61 |
| 65 | FIORILLI Tiago | 63 |
| 71 | NICÁCIO Pedro | 72 |
| 84 | BUCHMANN Emanuel | 59 |
| 87 | ALMONACID Patricio | 60 |
| 100 | CARRETERO Ramón | 62 |
| 129 | RAMOS Kléber | 65 |