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 = 0.8 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARSENO Alex | 71 |
| 2 | NAZARET Magno | 65 |
| 6 | SEABRA Renato | 67 |
| 8 | RODRÍGUEZ Jackson | 58 |
| 10 | MAY Márcio | 73 |
| 17 | FIORILLI Tiago | 63 |
| 26 | PANIZO Gregolry | 72 |
| 33 | QUADRI Hernandes | 67 |
| 34 | ANDRIATO Rafael | 67 |
| 41 | MÉDICI Matías | 70 |
| 43 | GARRIDO Gonzalo | 68 |
| 48 | CHACÓN José Isidro | 63 |
| 50 | RAMOS Kléber | 65 |
| 51 | BULGARELLI Otavio | 69 |
| 82 | DOS SANTOS Nilceu Aparecido | 70 |