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 + 74
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZARET Magno | 65 |
| 4 | SEABRA Renato | 67 |
| 5 | PANIZO Gregolry | 72 |
| 16 | AFFONSO Murilo | 63 |
| 18 | DIAZ Daniel | 61 |
| 26 | HOLLER Nikodemus | 58 |
| 34 | BULGARELLI Otavio | 69 |
| 35 | RODAS Manuel | 68 |
| 37 | FIORILLI Tiago | 63 |
| 38 | NICÁCIO Pedro | 72 |
| 55 | BUCHMANN Emanuel | 59 |
| 70 | RAMOS Kléber | 65 |
| 87 | ALMONACID Patricio | 60 |
| 98 | SCHNAIDT Fabian | 70 |