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 - 8
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NICÁCIO Pedro | 72 |
| 3 | ARSENO Alex | 71 |
| 7 | NAZARET Magno | 65 |
| 8 | MÉDICI Matías | 70 |
| 13 | FIORILLI Tiago | 63 |
| 16 | MAY Márcio | 73 |
| 19 | SEABRA Renato | 67 |
| 22 | BULGARELLI Otavio | 69 |
| 38 | GRIZANTE André Luiz | 79 |
| 40 | QUADRI Hernandes | 67 |
| 49 | RAMOS Kléber | 65 |
| 62 | DOS SANTOS Nilceu Aparecido | 70 |
| 65 | WOHLBERG Eric | 63 |
| 70 | MEIER Christian | 61 |
| 75 | BERTOLETTI Simone | 75 |
| 82 | MOREIRA Federico Antonio | 80 |