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 = -0.1 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAY Márcio | 73 |
| 5 | FIORILLI Tiago | 63 |
| 8 | ARSENO Alex | 71 |
| 9 | NAZARET Magno | 65 |
| 11 | SEABRA Renato | 67 |
| 14 | RODRÍGUEZ Jackson | 58 |
| 22 | MÉDICI Matías | 70 |
| 23 | QUADRI Hernandes | 67 |
| 32 | PANIZO Gregolry | 72 |
| 38 | ANDRIATO Rafael | 67 |
| 44 | BULGARELLI Otavio | 69 |
| 53 | GARRIDO Gonzalo | 68 |
| 62 | RAMOS Kléber | 65 |
| 63 | CHACÓN José Isidro | 63 |
| 70 | DOS SANTOS Nilceu Aparecido | 70 |