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 - 12
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DOS SANTOS Nilceu Aparecido | 70 |
| 8 | ANDRIATO Rafael | 67 |
| 10 | RAMOS Kléber | 65 |
| 11 | RODRÍGUEZ Jackson | 58 |
| 12 | SEABRA Renato | 67 |
| 16 | BULGARELLI Otavio | 69 |
| 18 | PANIZO Gregolry | 72 |
| 22 | NAZARET Magno | 65 |
| 28 | GARRIDO Gonzalo | 68 |
| 30 | FIORILLI Tiago | 63 |
| 33 | MAY Márcio | 73 |
| 41 | ARSENO Alex | 71 |
| 50 | CHACÓN José Isidro | 63 |
| 56 | MÉDICI Matías | 70 |
| 71 | QUADRI Hernandes | 67 |