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 = 1.3 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NAZARET Magno | 65 |
| 6 | ARSENO Alex | 71 |
| 9 | SEABRA Renato | 67 |
| 11 | FIORILLI Tiago | 63 |
| 15 | MAY Márcio | 73 |
| 21 | PANIZO Gregolry | 72 |
| 22 | NICÁCIO Pedro | 72 |
| 27 | RAMOS Kléber | 65 |
| 29 | RODRÍGUEZ Jackson | 58 |
| 31 | BULGARELLI Otavio | 69 |
| 34 | GUEVARA Manuel Enrique | 65 |
| 39 | ANDERSON Ryan | 66 |
| 40 | QUADRI Hernandes | 67 |
| 46 | ANDRIATO Rafael | 67 |
| 68 | GRIZANTE André Luiz | 79 |
| 70 | DOS SANTOS Nilceu Aparecido | 70 |