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 = 1.1 * weight - 14
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AFFONSO Murilo | 63 |
| 10 | NAZARET Magno | 65 |
| 13 | PANIZO Gregolry | 72 |
| 21 | HOLLER Nikodemus | 58 |
| 26 | SEABRA Renato | 67 |
| 30 | RAMOS Kléber | 65 |
| 31 | DIAZ Daniel | 61 |
| 61 | RODAS Manuel | 68 |
| 82 | ALMONACID Patricio | 60 |
| 97 | NICÁCIO Pedro | 72 |
| 107 | FIORILLI Tiago | 63 |
| 108 | BULGARELLI Otavio | 69 |
| 111 | BUCHMANN Emanuel | 59 |
| 112 | SCHNAIDT Fabian | 70 |